-
1
-
-
43049084029
-
Predicting compaction of cohesionless soils using ANN
-
Abdel-Rahman A.H. Predicting compaction of cohesionless soils using ANN. Ground Improv. 2008, 161:3-8.
-
(2008)
Ground Improv.
, vol.161
, pp. 3-8
-
-
Abdel-Rahman, A.H.1
-
2
-
-
79952033867
-
Slope stability modeling using genetic programming
-
Adarsh S.A., Jangareddy M. Slope stability modeling using genetic programming. Int. J. Earth Sci. Eng. 2010, 3:1-8.
-
(2010)
Int. J. Earth Sci. Eng.
, vol.3
, pp. 1-8
-
-
Adarsh, S.A.1
Jangareddy, M.2
-
3
-
-
0035044111
-
Neural networks in civil engineering: 1989-2000
-
Adeli H. Neural networks in civil engineering: 1989-2000. Comput. Aided Civ. Infrastruct. E. 2001, 16:126-142.
-
(2001)
Comput. Aided Civ. Infrastruct. E.
, vol.16
, pp. 126-142
-
-
Adeli, H.1
-
5
-
-
80054958843
-
Modeling of permeability and compaction characteristics of soils using evolutionary polynomial regression
-
Ahangar-Asr A., Faramarzi A., Mottaghifard N., Javadi A.A. Modeling of permeability and compaction characteristics of soils using evolutionary polynomial regression. Comput. Geosci. 2011, 37:1860-1869.
-
(2011)
Comput. Geosci.
, vol.37
, pp. 1860-1869
-
-
Ahangar-Asr, A.1
Faramarzi, A.2
Mottaghifard, N.3
Javadi, A.A.4
-
6
-
-
34247132993
-
Artificial neural network application to estimate kinematic soil pile interaction response parameters
-
Ahmad I., El Naggar H., Kahn A.N. Artificial neural network application to estimate kinematic soil pile interaction response parameters. Soil Dynam. Earthquake Eng. 2007, 27:892-905.
-
(2007)
Soil Dynam. Earthquake Eng.
, vol.27
, pp. 892-905
-
-
Ahmad, I.1
El Naggar, H.2
Kahn, A.N.3
-
7
-
-
80055054635
-
Prediction of principal ground motion parameters using a hybrid method coupling artificial neural networks and simulated annealing
-
Alavi A.H., Gandomi A.H. Prediction of principal ground motion parameters using a hybrid method coupling artificial neural networks and simulated annealing. Comput. Struct. 2011, 89:2176-2194.
-
(2011)
Comput. Struct.
, vol.89
, pp. 2176-2194
-
-
Alavi, A.H.1
Gandomi, A.H.2
-
8
-
-
79955683058
-
A robust data mining approach for formulation of geotechnical engineering systems
-
Alavi A.H., Gandomi A.H. A robust data mining approach for formulation of geotechnical engineering systems. Eng. Comput. Int. J. Comput. Aided Eng. Softw. 2011, 28:242-274.
-
(2011)
Eng. Comput. Int. J. Comput. Aided Eng. Softw.
, vol.28
, pp. 242-274
-
-
Alavi, A.H.1
Gandomi, A.H.2
-
9
-
-
79955683058
-
A robust data mining approach for formulation of geotechnical engineering systems
-
Alavi A.H., Gandomi A.H. A robust data mining approach for formulation of geotechnical engineering systems. Eng. Comput. 2011, 28:242-274.
-
(2011)
Eng. Comput.
, vol.28
, pp. 242-274
-
-
Alavi, A.H.1
Gandomi, A.H.2
-
10
-
-
84862648743
-
Energy-based numerical models for assessment of soil liquefaction
-
Alavi A.H., Gandomi A.H. Energy-based numerical models for assessment of soil liquefaction. Geosci. Frontiers. 2012, 3:541-555.
-
(2012)
Geosci. Frontiers.
, vol.3
, pp. 541-555
-
-
Alavi, A.H.1
Gandomi, A.H.2
-
11
-
-
77954209083
-
Multi expression programming: a new approach to formulation of soil classification
-
Alavi A.H., Gandomi A.H., Sahab M.G., Gandomi M. Multi expression programming: a new approach to formulation of soil classification. Eng. Comput. 2010, 26:111-118.
-
(2010)
Eng. Comput.
, vol.26
, pp. 111-118
-
-
Alavi, A.H.1
Gandomi, A.H.2
Sahab, M.G.3
Gandomi, M.4
-
12
-
-
46449108846
-
Prediction of geological hazardous zones in front of a tunnel face using TSP-203 and artificial neural networks
-
Alimoradi A., Moradzadeh A., Naderi R., Salehi M.Z., Etemadi A. Prediction of geological hazardous zones in front of a tunnel face using TSP-203 and artificial neural networks. Tunn. Undergr. Space Technol. 2008, 23:711-717.
-
(2008)
Tunn. Undergr. Space Technol.
, vol.23
, pp. 711-717
-
-
Alimoradi, A.1
Moradzadeh, A.2
Naderi, R.3
Salehi, M.Z.4
Etemadi, A.5
-
13
-
-
80052068571
-
Correlation of pile axial capacity and CPT data using gene expression programming
-
Alkroosh I., Nikraz H. Correlation of pile axial capacity and CPT data using gene expression programming. Geotech. Geol. Eng. 2011, 29:725-748.
-
(2011)
Geotech. Geol. Eng.
, vol.29
, pp. 725-748
-
-
Alkroosh, I.1
Nikraz, H.2
-
14
-
-
84882742155
-
Simulating pile load-settlement behavior from CPT data using intelligent computing
-
Alkroosh I., Nikraz H. Simulating pile load-settlement behavior from CPT data using intelligent computing. Cent. Eur. J. Eng. 2011, 1:295-305.
-
(2011)
Cent. Eur. J. Eng.
, vol.1
, pp. 295-305
-
-
Alkroosh, I.1
Nikraz, H.2
-
15
-
-
84857453045
-
Predicting axial capacity of driven piles in cohesive soils using intelligent computing
-
Alkroosh I., Nikraz H. Predicting axial capacity of driven piles in cohesive soils using intelligent computing. Eng. Appl. Artif. Intell. 2012, 25:618-627.
-
(2012)
Eng. Appl. Artif. Intell.
, vol.25
, pp. 618-627
-
-
Alkroosh, I.1
Nikraz, H.2
-
16
-
-
61749083047
-
Piles shaft capacity from CPT and CPTU data by polynomial neural networks and genetic algorithms
-
Ardalan H., Eslami A., Nariman-Zadeh N. Piles shaft capacity from CPT and CPTU data by polynomial neural networks and genetic algorithms. Comput. Geotech. 2009, 36:616-625.
-
(2009)
Comput. Geotech.
, vol.36
, pp. 616-625
-
-
Ardalan, H.1
Eslami, A.2
Nariman-Zadeh, N.3
-
17
-
-
0034174280
-
ASCE Artificial neural networks in hydrology. I: Preliminary concepts
-
ASCE Artificial neural networks in hydrology. I: Preliminary concepts. J. Hydrol. Eng. 2000, 5:115-123.
-
(2000)
J. Hydrol. Eng.
, vol.5
, pp. 115-123
-
-
-
18
-
-
58149308208
-
Free-swell and swelling pressure of unsaturated compacted clays; experiments and neural networks modelling
-
Ashayeri I., Yasrebi S. Free-swell and swelling pressure of unsaturated compacted clays; experiments and neural networks modelling. Geotech. Geol. Eng. 2009, 27:137-153.
-
(2009)
Geotech. Geol. Eng.
, vol.27
, pp. 137-153
-
-
Ashayeri, I.1
Yasrebi, S.2
-
19
-
-
23644459214
-
Artificial neural network for stress-strain behavior of sandy soils: knowledge based verification
-
Banimahd M., Yasrobi S.S., Woodward P.K. Artificial neural network for stress-strain behavior of sandy soils: knowledge based verification. Comput. Geotech. 2005, 32:377-386.
-
(2005)
Comput. Geotech.
, vol.32
, pp. 377-386
-
-
Banimahd, M.1
Yasrobi, S.S.2
Woodward, P.K.3
-
20
-
-
44949162150
-
Prediction of compressive and tensile strength of limestone via genetic programming
-
Baykasoglu A., Gullu H., Canakci H., Ozbakir L. Prediction of compressive and tensile strength of limestone via genetic programming. Expert Syst. Appl. 2008, 35:111-123.
-
(2008)
Expert Syst. Appl.
, vol.35
, pp. 111-123
-
-
Baykasoglu, A.1
Gullu, H.2
Canakci, H.3
Ozbakir, L.4
-
21
-
-
10644296344
-
Evaluation of lateral spreading using artificial neural networks
-
Baziar M.H., Ghorbani A. Evaluation of lateral spreading using artificial neural networks. Soil Dynam. Earthquake Eng. 2005, 25:1-9.
-
(2005)
Soil Dynam. Earthquake Eng.
, vol.25
, pp. 1-9
-
-
Baziar, M.H.1
Ghorbani, A.2
-
22
-
-
80054890052
-
Prediction of strain energy-based liquefaction resistance of sand-silt mixtures: an evolutionary approach
-
Baziar M.H., Jafarian Y., Shahnazari H., Movahed V., Tutunchian M.A. Prediction of strain energy-based liquefaction resistance of sand-silt mixtures: an evolutionary approach. Comput. Geotech. 2011, 37:1883-1893.
-
(2011)
Comput. Geotech.
, vol.37
, pp. 1883-1893
-
-
Baziar, M.H.1
Jafarian, Y.2
Shahnazari, H.3
Movahed, V.4
Tutunchian, M.A.5
-
23
-
-
33645989110
-
Machine learning in soil classification
-
Bhattacharya B., Solomatine D. Machine learning in soil classification. Neural Networks 2006, 19:186-195.
-
(2006)
Neural Networks
, vol.19
, pp. 186-195
-
-
Bhattacharya, B.1
Solomatine, D.2
-
24
-
-
78149270128
-
Artificial neural network application for the prediction of ground surface movements induced by shield tunnelling
-
Boubou R., Emeriault F., Kastner R. Artificial neural network application for the prediction of ground surface movements induced by shield tunnelling. Can. Geotech. J. 2010, 47:1214-1233.
-
(2010)
Can. Geotech. J.
, vol.47
, pp. 1214-1233
-
-
Boubou, R.1
Emeriault, F.2
Kastner, R.3
-
25
-
-
0036221122
-
Optimal division of data for neural network models in water resources applications
-
Bowden G.J., Maier H.R., Dandy G.C. Optimal division of data for neural network models in water resources applications. Water Resour. Res. 2002, 38:2.1-2.11.
-
(2002)
Water Resour. Res.
, vol.38
-
-
Bowden, G.J.1
Maier, H.R.2
Dandy, G.C.3
-
26
-
-
10644292718
-
Data transformation for neural network models in water resources applications
-
Bowden G.J., Dandy G.C., Maier H.R. Data transformation for neural network models in water resources applications. J. Hydroinform. 2003, 5:245-258.
-
(2003)
J. Hydroinform.
, vol.5
, pp. 245-258
-
-
Bowden, G.J.1
Dandy, G.C.2
Maier, H.R.3
-
27
-
-
10644295753
-
Input determination for neural network models in water resources applications: Part 1-Background and methodology
-
Bowden G.J., Dandy G.C., Maier H.R. Input determination for neural network models in water resources applications: Part 1-Background and methodology. J. Hydrol. 2005, 301:75-92.
-
(2005)
J. Hydrol.
, vol.301
, pp. 75-92
-
-
Bowden, G.J.1
Dandy, G.C.2
Maier, H.R.3
-
28
-
-
0031851620
-
Feed-forward artificial neural network model for forecasting rainfall run-off
-
Braddock R.D., Kremmer M.L., Sanzogni L. Feed-forward artificial neural network model for forecasting rainfall run-off. Environmetrics 1998, 9:419-432.
-
(1998)
Environmetrics
, vol.9
, pp. 419-432
-
-
Braddock, R.D.1
Kremmer, M.L.2
Sanzogni, L.3
-
30
-
-
33645651941
-
Application of flat DMT and ANN to Korean soft clay deposits for reliable estimation of undrained shear strength
-
Byeon W.Y., Lee S.R., Kim Y.S. Application of flat DMT and ANN to Korean soft clay deposits for reliable estimation of undrained shear strength. Int. J. Offshore Polar Eng. 2006, 16:73-80.
-
(2006)
Int. J. Offshore Polar Eng.
, vol.16
, pp. 73-80
-
-
Byeon, W.Y.1
Lee, S.R.2
Kim, Y.S.3
-
31
-
-
77953914047
-
Constitutive modeling of Leighton Buzzard sands using genetic programming
-
Cabalar A.F., Cevik A., Guzelbey I.H. Constitutive modeling of Leighton Buzzard sands using genetic programming. Neural Comput. Appl. 2009, 19:657-665.
-
(2009)
Neural Comput. Appl.
, vol.19
, pp. 657-665
-
-
Cabalar, A.F.1
Cevik, A.2
Guzelbey, I.H.3
-
32
-
-
34547124842
-
The applicability of neural networks in the determination of soil profiles
-
Caglar N., Arman H. The applicability of neural networks in the determination of soil profiles. Bull. Eng. Geol. Environ. 2007, 66:295-301.
-
(2007)
Bull. Eng. Geol. Environ.
, vol.66
, pp. 295-301
-
-
Caglar, N.1
Arman, H.2
-
33
-
-
0028449105
-
Neural network based objective flow regime identification in air-water two phase flow
-
Cai S., Toral H., Qiu J., Archer J.S. Neural network based objective flow regime identification in air-water two phase flow. Can. J. Chem. Eng. 1994, 72:440-445.
-
(1994)
Can. J. Chem. Eng.
, vol.72
, pp. 440-445
-
-
Cai, S.1
Toral, H.2
Qiu, J.3
Archer, J.S.4
-
34
-
-
0032722662
-
Forecasting river flow rate during low-flow periods using neural networks
-
Campolo M., Soldati A., Andreuss I.P. Forecasting river flow rate during low-flow periods using neural networks. Water Resour. Res. 1999, 35:3547-3552.
-
(1999)
Water Resour. Res.
, vol.35
, pp. 3547-3552
-
-
Campolo, M.1
Soldati, A.2
Andreuss, I.P.3
-
35
-
-
52349087908
-
Neural network committe-based sensitivity analysis strategy for geotechnical engineering problems
-
Cao M., Qiao P. Neural network committe-based sensitivity analysis strategy for geotechnical engineering problems. Neural Comput. Appl. 2008, 17:509-519.
-
(2008)
Neural Comput. Appl.
, vol.17
, pp. 509-519
-
-
Cao, M.1
Qiao, P.2
-
36
-
-
30844447472
-
Determination of preconsolidation pressure with artificial neural network
-
Celik S., Tan O. Determination of preconsolidation pressure with artificial neural network. Civ. Eng. Environ. Syst. 2005, 22:217-231.
-
(2005)
Civ. Eng. Environ. Syst.
, vol.22
, pp. 217-231
-
-
Celik, S.1
Tan, O.2
-
37
-
-
78751604817
-
Modeling of the uniaxial compressive strength of some clay-bearing rocks using neural network
-
Cevik A., Sezer E.A., Cabalar A.F., Gokceoglu C. Modeling of the uniaxial compressive strength of some clay-bearing rocks using neural network. Appl. Soft. Comput. 2010, 11:2587-2594.
-
(2010)
Appl. Soft. Comput.
, vol.11
, pp. 2587-2594
-
-
Cevik, A.1
Sezer, E.A.2
Cabalar, A.F.3
Gokceoglu, C.4
-
38
-
-
58149310827
-
Studies on construction pre-control of a connection aisle between two neighbouring tunnels in Shanghai by means of 3D FEM, neural networks and fuzzy logic
-
Chen Y., Azzam R., Fernandez T.M., Li L. Studies on construction pre-control of a connection aisle between two neighbouring tunnels in Shanghai by means of 3D FEM, neural networks and fuzzy logic. Geotech. Geol. Eng. 2009, 27:155-167.
-
(2009)
Geotech. Geol. Eng.
, vol.27
, pp. 155-167
-
-
Chen, Y.1
Azzam, R.2
Fernandez, T.M.3
Li, L.4
-
39
-
-
33750975874
-
The displacement computation and construction pre-control of a foundation pit in Shanghai utilizing FEM and intelligent methods
-
Chen Y., Azzam R., Zhang F. The displacement computation and construction pre-control of a foundation pit in Shanghai utilizing FEM and intelligent methods. Geotech. Geol. Eng. 2006, 24:1781-1801.
-
(2006)
Geotech. Geol. Eng.
, vol.24
, pp. 1781-1801
-
-
Chen, Y.1
Azzam, R.2
Zhang, F.3
-
40
-
-
79251539256
-
Simulation of stress-strain behavior of saturated sand in undrained triaxial tests based on genetic adaptive neural networks
-
Chen Y., Hsieh S., Liu C. Simulation of stress-strain behavior of saturated sand in undrained triaxial tests based on genetic adaptive neural networks. Electron. J. Geotech. Eng. 2010, 15:1814-1834.
-
(2010)
Electron. J. Geotech. Eng.
, vol.15
, pp. 1814-1834
-
-
Chen, Y.1
Hsieh, S.2
Liu, C.3
-
41
-
-
33645990587
-
Computational intelligence in earth sciences and environmental applications: issues and challenges
-
Cherkassky V., Krasnopolsky V., Solomatine D.P., Valdes J. Computational intelligence in earth sciences and environmental applications: issues and challenges. Neural Networks 2006, 19:113-121.
-
(2006)
Neural Networks
, vol.19
, pp. 113-121
-
-
Cherkassky, V.1
Krasnopolsky, V.2
Solomatine, D.P.3
Valdes, J.4
-
42
-
-
64849106854
-
Probabilistic stability analyses of slopes using the ANN-based response surface
-
Cho S.E. Probabilistic stability analyses of slopes using the ANN-based response surface. Comput. Geotech. 2009, 36:787-797.
-
(2009)
Comput. Geotech.
, vol.36
, pp. 787-797
-
-
Cho, S.E.1
-
44
-
-
0002258659
-
A representation for the adaptive generation of simple sequential programs
-
Carnegie-Mellon University, Pittsburgh, PA
-
Cramer, N.L., 1985. A representation for the adaptive generation of simple sequential programs. In: Proceedings of the International Conference on Genetic Algorithms and Their Applications, Carnegie-Mellon University, Pittsburgh, PA, pp. 183-187.
-
(1985)
In: Proceedings of the International Conference on Genetic Algorithms and Their Applications
, pp. 183-187
-
-
Cramer, N.L.1
-
45
-
-
27444435681
-
Prediction of coefficient of lateral earth pressure using artificial neural networks
-
Das S.K., Basudhar P.K. Prediction of coefficient of lateral earth pressure using artificial neural networks. Electron. J. Geotech. Eng. 2005, 10.
-
(2005)
Electron. J. Geotech. Eng.
, vol.10
-
-
Das, S.K.1
Basudhar, P.K.2
-
46
-
-
37849189166
-
Undrained lateral load capacity of piles in clay using artificial neural network
-
Das S.K., Basudhar P.K. Undrained lateral load capacity of piles in clay using artificial neural network. Comput. Geotech. 2006, 33:454-459.
-
(2006)
Comput. Geotech.
, vol.33
, pp. 454-459
-
-
Das, S.K.1
Basudhar, P.K.2
-
47
-
-
77954930625
-
Discussion of: intelligent computing for modeling axial capacity of pile foundations
-
Das S.K., Sivakugan N. Discussion of: intelligent computing for modeling axial capacity of pile foundations. Can. Geotech. J. 2010, 47:928-930.
-
(2010)
Can. Geotech. J.
, vol.47
, pp. 928-930
-
-
Das, S.K.1
Sivakugan, N.2
-
48
-
-
80051666629
-
Classification of slopes and prediction of factor of safety using differential neural networks
-
Das S.K., Biswal R.K., Sivakugan N., Das B. Classification of slopes and prediction of factor of safety using differential neural networks. Environ. Earth Sci. 2011, 64:201-210.
-
(2011)
Environ. Earth Sci.
, vol.64
, pp. 201-210
-
-
Das, S.K.1
Biswal, R.K.2
Sivakugan, N.3
Das, B.4
-
49
-
-
79955465044
-
Application of artificial intelligence to maximum dry density and unconfined compressive stregth of cement stabilized soil
-
Das S.K., Samui P., Sabat A.K. Application of artificial intelligence to maximum dry density and unconfined compressive stregth of cement stabilized soil. Geotech. Geol. Eng. 2011, 29:329-342.
-
(2011)
Geotech. Geol. Eng.
, vol.29
, pp. 329-342
-
-
Das, S.K.1
Samui, P.2
Sabat, A.K.3
-
50
-
-
79953170883
-
Models to predict the deformation modulus and the coefficient of subgrade reaction for earth filling structure
-
Dincer I. Models to predict the deformation modulus and the coefficient of subgrade reaction for earth filling structure. Adv. Eng. Softw. 2011, 42:160-171.
-
(2011)
Adv. Eng. Softw.
, vol.42
, pp. 160-171
-
-
Dincer, I.1
-
51
-
-
54249136826
-
Modelling time dependent swelling potential of mudrock using laboratory tests and artificial neural network
-
Doostmohamadi R., Moosavi M., Araabi B.N. Modelling time dependent swelling potential of mudrock using laboratory tests and artificial neural network. Min. Tech. 2008, 117:32-41.
-
(2008)
Min. Tech.
, vol.117
, pp. 32-41
-
-
Doostmohamadi, R.1
Moosavi, M.2
Araabi, B.N.3
-
52
-
-
77958183722
-
Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology-part 1: concepts and methodology
-
Elshorbagy A., Corzo G., Srinivasulu S., Solomatine D.P. Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology-part 1: concepts and methodology. Hydrol. Earth Syst. Sci. 2010, 14:1931-1941.
-
(2010)
Hydrol. Earth Syst. Sci.
, vol.14
, pp. 1931-1941
-
-
Elshorbagy, A.1
Corzo, G.2
Srinivasulu, S.3
Solomatine, D.P.4
-
53
-
-
38849209843
-
Artificial neural networks approach for swell pressure versus soil suction behaviour
-
Erzin Y. Artificial neural networks approach for swell pressure versus soil suction behaviour. Can. Geotech. J. 2007, 44:1215-1223.
-
(2007)
Can. Geotech. J.
, vol.44
, pp. 1215-1223
-
-
Erzin, Y.1
-
54
-
-
70349223731
-
Artificial neural network (ANN) models for determining hydraulic conductivity of compacted fine-grained soils
-
Erzin Y., Gumaste S.D., Gupta A.K., Singh D.N. Artificial neural network (ANN) models for determining hydraulic conductivity of compacted fine-grained soils. Can. Geotech. J. 2009, 46:955-968.
-
(2009)
Can. Geotech. J.
, vol.46
, pp. 955-968
-
-
Erzin, Y.1
Gumaste, S.D.2
Gupta, A.K.3
Singh, D.N.4
-
55
-
-
0039988139
-
Time series forecasting with neural networks: a comparative study using the airline data
-
Faraway J., Chatfield C. Time series forecasting with neural networks: a comparative study using the airline data. Appl. Stat. 1998, 47:231-250.
-
(1998)
Appl. Stat.
, vol.47
, pp. 231-250
-
-
Faraway, J.1
Chatfield, C.2
-
56
-
-
0003710566
-
-
Prentice-Hall, Englewood Cliffs, NJ
-
Fausett L.V. Fundamentals Neural Networks: Architecture, Algorithms, and Applications 1994, Prentice-Hall, Englewood Cliffs, NJ.
-
(1994)
Fundamentals Neural Networks: Architecture, Algorithms, and Applications
-
-
Fausett, L.V.1
-
57
-
-
33645963421
-
Identification of visco-elastic models for rocks using genetic programming coupled with the modified particle swarm optimization algorithm
-
Feng X.T., Chen B., Yang C., Zhou H., Ding X. Identification of visco-elastic models for rocks using genetic programming coupled with the modified particle swarm optimization algorithm. Int. J. Rock Mech. Min. Sci. 2006, 43:789-801.
-
(2006)
Int. J. Rock Mech. Min. Sci.
, vol.43
, pp. 789-801
-
-
Feng, X.T.1
Chen, B.2
Yang, C.3
Zhou, H.4
Ding, X.5
-
58
-
-
34848842523
-
Computational intelligence tools for the prediction of slope performance
-
Ferentinou M.D., Sakellariou M.G. Computational intelligence tools for the prediction of slope performance. Comput. Geotech. 2007, 34:362-384.
-
(2007)
Comput. Geotech.
, vol.34
, pp. 362-384
-
-
Ferentinou, M.D.1
Sakellariou, M.G.2
-
59
-
-
0347499408
-
Gene expression programming: a new adaptive algorithm for solving problems
-
Ferreira C. Gene expression programming: a new adaptive algorithm for solving problems. Complex Systems 2001, 13:87-129.
-
(2001)
Complex Systems
, vol.13
, pp. 87-129
-
-
Ferreira, C.1
-
60
-
-
64849117838
-
Generalized regression neural networks and feed forward neural networks for prediction of scur depth around bridge piers
-
Firat M., Gungor M. Generalized regression neural networks and feed forward neural networks for prediction of scur depth around bridge piers. Adv. Eng. Softw. 2008, 40:731-737.
-
(2008)
Adv. Eng. Softw.
, vol.40
, pp. 731-737
-
-
Firat, M.1
Gungor, M.2
-
61
-
-
39449138855
-
Towards the next generation of artificial neural networks for civil engineering
-
Flood I. Towards the next generation of artificial neural networks for civil engineering. Adv. Eng. Inform. 2008, 22:4-14.
-
(2008)
Adv. Eng. Inform.
, vol.22
, pp. 4-14
-
-
Flood, I.1
-
63
-
-
34848891893
-
Integration of laboratory testing and constitutive modelling of soils
-
Fu Q., Hashash Y.M.A., Hung S., Ghaboussi J. Integration of laboratory testing and constitutive modelling of soils. Comput. Geotech. 2007, 34:330-345.
-
(2007)
Comput. Geotech.
, vol.34
, pp. 330-345
-
-
Fu, Q.1
Hashash, Y.M.A.2
Hung, S.3
Ghaboussi, J.4
-
64
-
-
80052923685
-
Multi-stage genetic programming: a new strategy to nonlinear system modeling
-
Gandomi A.H., Alavi A.H. Multi-stage genetic programming: a new strategy to nonlinear system modeling. Inf. Sci. 2011, 181:5227-5239.
-
(2011)
Inf. Sci.
, vol.181
, pp. 5227-5239
-
-
Gandomi, A.H.1
Alavi, A.H.2
-
65
-
-
84856002704
-
A new multi-gene genetic programming approach to non-linear system modeling, Part II: Geotechnical and earthquake engineering problems
-
Gandomi A.H., Alavi A.H. A new multi-gene genetic programming approach to non-linear system modeling, Part II: Geotechnical and earthquake engineering problems. Neural Comput. Appl. 2012, 21:189-201.
-
(2012)
Neural Comput. Appl.
, vol.21
, pp. 189-201
-
-
Gandomi, A.H.1
Alavi, A.H.2
-
66
-
-
79251646481
-
Formulation of uplift capacity of suction cassions using multi expression programming
-
Gandomi A.H., Alavi A.H., Gun J.Y. Formulation of uplift capacity of suction cassions using multi expression programming. KSCE J. Civ. Eng. 2011, 15:363-373.
-
(2011)
KSCE J. Civ. Eng.
, vol.15
, pp. 363-373
-
-
Gandomi, A.H.1
Alavi, A.H.2
Gun, J.Y.3
-
67
-
-
77953961177
-
Intelligent prediction of the stress-strain response of intact and jointed rocks
-
Garaga A., Latha G.M. Intelligent prediction of the stress-strain response of intact and jointed rocks. Comput. Geotech. 2010, 37:629-637.
-
(2010)
Comput. Geotech.
, vol.37
, pp. 629-637
-
-
Garaga, A.1
Latha, G.M.2
-
68
-
-
67349140515
-
Rockfill stregth evaluation using cascade correlation networks
-
Garcia S.R., Roma M.P. Rockfill stregth evaluation using cascade correlation networks. Geotech. Geol. Eng. 2009, 27:289-304.
-
(2009)
Geotech. Geol. Eng.
, vol.27
, pp. 289-304
-
-
Garcia, S.R.1
Roma, M.P.2
-
69
-
-
33644797052
-
Soil dynamic properties determination: a neurofuzzy system approach
-
Garcia S.R., Romo M.P., Figueroa-Nazuno J. Soil dynamic properties determination: a neurofuzzy system approach. Contr. Intell. Syst. 2006, 34:1-11.
-
(2006)
Contr. Intell. Syst.
, vol.34
, pp. 1-11
-
-
Garcia, S.R.1
Romo, M.P.2
Figueroa-Nazuno, J.3
-
70
-
-
0032146239
-
Artificial neural networks (the multilayer perceptron)-a review of applications in the atmospheric sciences
-
Gardner M.W., Dorling S.R. Artificial neural networks (the multilayer perceptron)-a review of applications in the atmospheric sciences. Atmos. Environ. 1998, 32:2627-2636.
-
(1998)
Atmos. Environ.
, vol.32
, pp. 2627-2636
-
-
Gardner, M.W.1
Dorling, S.R.2
-
71
-
-
0001867238
-
Interpreting neural-network connection weights
-
Garson G.D. Interpreting neural-network connection weights. AI Expert 1991, 6:47-51.
-
(1991)
AI Expert
, vol.6
, pp. 47-51
-
-
Garson, G.D.1
-
72
-
-
0035673991
-
A comparison of self-organizing map algorithm and some conventional statistical methods for ecological community ordination
-
Giraudel J.L., Lek S. A comparison of self-organizing map algorithm and some conventional statistical methods for ecological community ordination. Ecol. Modell. 2001, 146:329-339.
-
(2001)
Ecol. Modell.
, vol.146
, pp. 329-339
-
-
Giraudel, J.L.1
Lek, S.2
-
73
-
-
33744791952
-
A symbolic data-driven technique based on evolutionary polynomial regression
-
Giustolisi O., Savic D.A. A symbolic data-driven technique based on evolutionary polynomial regression. J. Hydroinform. 2006, 8:207-222.
-
(2006)
J. Hydroinform.
, vol.8
, pp. 207-222
-
-
Giustolisi, O.1
Savic, D.A.2
-
74
-
-
33845689247
-
A multi-model approach to analysis of environmental phenomena
-
Giustolisi O., Doglioni A., Savic D.A., Webb B.W. A multi-model approach to analysis of environmental phenomena. Environ. Model. Softw. 2007, 22:674-682.
-
(2007)
Environ. Model. Softw.
, vol.22
, pp. 674-682
-
-
Giustolisi, O.1
Doglioni, A.2
Savic, D.A.3
Webb, B.W.4
-
75
-
-
11344291763
-
Bayesian neural network analysis of undrained side resistance of drilled shafts
-
Goh A.T., Kulhawy F.H., Chua C.G. Bayesian neural network analysis of undrained side resistance of drilled shafts. J. Geotech. Geoenviron. Eng. 2005, 131:84-93.
-
(2005)
J. Geotech. Geoenviron. Eng.
, vol.131
, pp. 84-93
-
-
Goh, A.T.1
Kulhawy, F.H.2
Chua, C.G.3
-
76
-
-
0028666973
-
Seismic liquefaction potential assessed by neural network
-
Goh A.T.C. Seismic liquefaction potential assessed by neural network. J. Geotech. Geoenviron. Eng. 1994, 120:1467-1480.
-
(1994)
J. Geotech. Geoenviron. Eng.
, vol.120
, pp. 1467-1480
-
-
Goh, A.T.C.1
-
77
-
-
18444386490
-
Reliability assessment of serviceability performance of braced retaining walls using a neural network approach
-
Goh A.T.C., Kulhawy F.H. Reliability assessment of serviceability performance of braced retaining walls using a neural network approach. Int. J. Numer. Anal. Methods Geomech. 2005, 29:627-642.
-
(2005)
Int. J. Numer. Anal. Methods Geomech.
, vol.29
, pp. 627-642
-
-
Goh, A.T.C.1
Kulhawy, F.H.2
-
78
-
-
3142656652
-
A neuro-fuzzy model for modulus of deformation of jointed rock masses
-
Gokceoglu C., Yesilnacar E., Sonmez H., Kayabasi A. A neuro-fuzzy model for modulus of deformation of jointed rock masses. Comput. Geotech. 2004, 31:375-383.
-
(2004)
Comput. Geotech.
, vol.31
, pp. 375-383
-
-
Gokceoglu, C.1
Yesilnacar, E.2
Sonmez, H.3
Kayabasi, A.4
-
80
-
-
78049426061
-
Prediction of artificial soil's unconfined compression strength test using statistical analyses and artificial neural networks
-
Gunaydin O., Gokoglu A., Fener M. Prediction of artificial soil's unconfined compression strength test using statistical analyses and artificial neural networks. Adv. Eng. Softw. 2010, 41:1115-1123.
-
(2010)
Adv. Eng. Softw.
, vol.41
, pp. 1115-1123
-
-
Gunaydin, O.1
Gokoglu, A.2
Fener, M.3
-
81
-
-
68049113510
-
New approach for stage-discharge relationship: gene-expression programming
-
Guven A., Aytek A. New approach for stage-discharge relationship: gene-expression programming. J. Hydrol. Eng. 2009, 14:812-820.
-
(2009)
J. Hydrol. Eng.
, vol.14
, pp. 812-820
-
-
Guven, A.1
Aytek, A.2
-
82
-
-
82055172406
-
Prediction of surface settlements induced by NATM tunneling based on artificial neural networks
-
Hajihassani, M., Marto, A., Nazmi, E., Abad, S., Shahrbabaki, M., 2011. Prediction of surface settlements induced by NATM tunneling based on artificial neural networks. Electro. J. Geotech. Eng. 16, 1471-1480.
-
(2011)
Electro. J. Geotech. Eng
, vol.16
, pp. 1471-1480
-
-
Hajihassani, M.1
Marto, A.2
Nazmi, E.3
Abad, S.4
Shahrbabaki, M.5
-
83
-
-
0027627965
-
Working with neural networks
-
Hammerstrom D. Working with neural networks. IEEE Spectr. 1993, 30:46-53.
-
(1993)
IEEE Spectr.
, vol.30
, pp. 46-53
-
-
Hammerstrom, D.1
-
84
-
-
33845594705
-
Evaluation of liquefaction potential of soil deposits using artificial neural networks
-
Hanna A.M., Ural D., Saygili G. Evaluation of liquefaction potential of soil deposits using artificial neural networks. Int. J. Comput. Aided Eng. Softw. 2007, 24:5-16.
-
(2007)
Int. J. Comput. Aided Eng. Softw.
, vol.24
, pp. 5-16
-
-
Hanna, A.M.1
Ural, D.2
Saygili, G.3
-
85
-
-
33846833664
-
Neural network model for liquefaction potential in soil deposits using Turkey and Taiwan earthquake data
-
Hanna A.M., Ural D., Saygili G. Neural network model for liquefaction potential in soil deposits using Turkey and Taiwan earthquake data. Soil Dynam. Earthquake Eng. 2007, 27:521-540.
-
(2007)
Soil Dynam. Earthquake Eng.
, vol.27
, pp. 521-540
-
-
Hanna, A.M.1
Ural, D.2
Saygili, G.3
-
88
-
-
74449084707
-
Prediction of swelling pressures of expansive soils using artificial neural networks
-
Ikizler S.B., Aytekin M., Vekli M., Kocabas F. Prediction of swelling pressures of expansive soils using artificial neural networks. Adv. Eng. Softw. 2009, 41:647-655.
-
(2009)
Adv. Eng. Softw.
, vol.41
, pp. 647-655
-
-
Ikizler, S.B.1
Aytekin, M.2
Vekli, M.3
Kocabas, F.4
-
89
-
-
79956105669
-
Modelling load-settlement behaviour of piles using high-order neural network (HON-PILE model)
-
Ismail A.M., Jeng D.S. Modelling load-settlement behaviour of piles using high-order neural network (HON-PILE model). Eng. Appl. Artif. Intell. 2011, 24:813-821.
-
(2011)
Eng. Appl. Artif. Intell.
, vol.24
, pp. 813-821
-
-
Ismail, A.M.1
Jeng, D.S.2
-
90
-
-
1542287371
-
Identification of physical processes inherent in artificial neural network rainfall runoff models
-
Jain A., Sudheer K.P., Srinivasulu S. Identification of physical processes inherent in artificial neural network rainfall runoff models. Hydrolog. Process 2004, 18:571-581.
-
(2004)
Hydrolog. Process
, vol.18
, pp. 571-581
-
-
Jain, A.1
Sudheer, K.P.2
Srinivasulu, S.3
-
91
-
-
70249127883
-
Intelligent finite element method: an evolutionary approach to constitutive modelling
-
Javadi A.A., Rezania M. Intelligent finite element method: an evolutionary approach to constitutive modelling. Adv. Eng. Inform. 2009, 23:442-451.
-
(2009)
Adv. Eng. Inform.
, vol.23
, pp. 442-451
-
-
Javadi, A.A.1
Rezania, M.2
-
92
-
-
33747786653
-
Evaluation of liquefaction induced lateral displacements using genetic programming
-
Javadi A., Rezania M., Mousavi N.M. Evaluation of liquefaction induced lateral displacements using genetic programming. Comput. Geotech. 2006, 33:222-233.
-
(2006)
Comput. Geotech.
, vol.33
, pp. 222-233
-
-
Javadi, A.1
Rezania, M.2
Mousavi, N.M.3
-
93
-
-
79955901976
-
Prediction of compressibility coefficient of soil based on RBF neural network
-
Jianping J., Changhong Y., Guangyun G. Prediction of compressibility coefficient of soil based on RBF neural network. J. Jiangsu Univ. Natural Sci. Ed. 2011, 32:232-235.
-
(2011)
J. Jiangsu Univ. Natural Sci. Ed.
, vol.32
, pp. 232-235
-
-
Jianping, J.1
Changhong, Y.2
Guangyun, G.3
-
94
-
-
33645818583
-
Prediction of soil-water characteristic curve using genetic programming
-
Johari A., Habibagahi G., Ghahramani A. Prediction of soil-water characteristic curve using genetic programming. J. Geotech. Geoenviron. Eng. 2006, 132:661-665.
-
(2006)
J. Geotech. Geoenviron. Eng.
, vol.132
, pp. 661-665
-
-
Johari, A.1
Habibagahi, G.2
Ghahramani, A.3
-
95
-
-
78649632791
-
Modelling the mechanical behaviour of unsaturated soils using a genetic algorithm-based neural network
-
Johari A., Javadi A., Habibagahi G. Modelling the mechanical behaviour of unsaturated soils using a genetic algorithm-based neural network. Comput. Geotech. 2011, 38:2-13.
-
(2011)
Comput. Geotech.
, vol.38
, pp. 2-13
-
-
Johari, A.1
Javadi, A.2
Habibagahi, G.3
-
96
-
-
78751656023
-
A neural network based methodology to predict site-specific spectral acce;eration values
-
Kamatchi P., Rajasankar J., Ramana G.V., Nagpal A.K. A neural network based methodology to predict site-specific spectral acce;eration values. Earthquake Eng. Vib. 2010, 9:459-472.
-
(2010)
Earthquake Eng. Vib.
, vol.9
, pp. 459-472
-
-
Kamatchi, P.1
Rajasankar, J.2
Ramana, G.V.3
Nagpal, A.K.4
-
97
-
-
33744829751
-
A comparative study of conventional ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas
-
Kanungo D.P., Arora M.K., Sarkar S., Gupta R.P. A comparative study of conventional ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas. Eng. Geol. 2006, 85:347-366.
-
(2006)
Eng. Geol.
, vol.85
, pp. 347-366
-
-
Kanungo, D.P.1
Arora, M.K.2
Sarkar, S.3
Gupta, R.P.4
-
98
-
-
84947630316
-
ASMOD-An algorithm for adaptive spline modelling of observation data
-
Kavli T. ASMOD-An algorithm for adaptive spline modelling of observation data. Int. J. Control. 1993, 58:947-967.
-
(1993)
Int. J. Control.
, vol.58
, pp. 947-967
-
-
Kavli, T.1
-
99
-
-
61749101060
-
Residual and fully softened strength evaluation of soils using artificial neural networks
-
Kaya A. Residual and fully softened strength evaluation of soils using artificial neural networks. Geotech. Geol. Eng. 2009, 27:281-288.
-
(2009)
Geotech. Geol. Eng.
, vol.27
, pp. 281-288
-
-
Kaya, A.1
-
100
-
-
78650705343
-
Soil liquefaction modeling by genetic expression programming and neuro-fuzzy
-
Kayadelen C. Soil liquefaction modeling by genetic expression programming and neuro-fuzzy. Expert Syst. Appl. 2011, 38:4080-4087.
-
(2011)
Expert Syst. Appl.
, vol.38
, pp. 4080-4087
-
-
Kayadelen, C.1
-
101
-
-
67349218791
-
Modeling of the angle of shearing resistance of soils using soft computing systems
-
Kayadelen C., Gunaydin O., Fener M., Demir A., Ozvan A. Modeling of the angle of shearing resistance of soils using soft computing systems. Expert Syst. Appl. 2009, 36:11814-11826.
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 11814-11826
-
-
Kayadelen, C.1
Gunaydin, O.2
Fener, M.3
Demir, A.4
Ozvan, A.5
-
102
-
-
36048947426
-
Predicting of liquefaction potential in soils using artificial neural networks
-
Khozaghi S.S.H., Choobbasti A.J.A. Predicting of liquefaction potential in soils using artificial neural networks. Electron. J. Geotech. Eng. 2007, 12.
-
(2007)
Electron. J. Geotech. Eng.
, pp. 12
-
-
Khozaghi, S.S.H.1
Choobbasti, A.J.A.2
-
103
-
-
42949174752
-
Prediction of relative crest settlement of concrete-faced rockfill dams analyzed using an artificial neural network model
-
Kim Y., Kim B. Prediction of relative crest settlement of concrete-faced rockfill dams analyzed using an artificial neural network model. Comput. Geotech. 2008, 35:313-322.
-
(2008)
Comput. Geotech.
, vol.35
, pp. 313-322
-
-
Kim, Y.1
Kim, B.2
-
104
-
-
31444455186
-
Bayesian parameter estimation applied to artificial neural networks used for hydrological modelling
-
Kingston G.B., Lambert M.F., Maier H.R. Bayesian parameter estimation applied to artificial neural networks used for hydrological modelling. Water Resour. Res. 2005, 41. 10.1029/2005WR004152.
-
(2005)
Water Resour. Res.
, pp. 41
-
-
Kingston, G.B.1
Lambert, M.F.2
Maier, H.R.3
-
105
-
-
28444444200
-
Calibration and validation of neural networks to ensure physically plausible hydrological modelling
-
Kingston G.B., Maier H.R., Lambert M.F. Calibration and validation of neural networks to ensure physically plausible hydrological modelling. J. Hydrol. 2005, 314:158-176.
-
(2005)
J. Hydrol.
, vol.314
, pp. 158-176
-
-
Kingston, G.B.1
Maier, H.R.2
Lambert, M.F.3
-
106
-
-
33745367041
-
A probabilistic method to assist knowledge extraction from artificial neural networks used for hydrological prediction
-
Kingston G.B., Maier H.R., Lambert M.F. A probabilistic method to assist knowledge extraction from artificial neural networks used for hydrological prediction. Math. Comput. Model. 2006, 44:499-512.
-
(2006)
Math. Comput. Model.
, vol.44
, pp. 499-512
-
-
Kingston, G.B.1
Maier, H.R.2
Lambert, M.F.3
-
107
-
-
44349171685
-
Bayesian model selection applied to artificial neural networks used for water resources modelling
-
Kingston G.B., Maier H.R., Lambert M.F. Bayesian model selection applied to artificial neural networks used for water resources modelling. Water Resour. Res. 2008, 44. 10.1029/2007WR006155.
-
(2008)
Water Resour. Res.
, pp. 44
-
-
Kingston, G.B.1
Maier, H.R.2
Lambert, M.F.3
-
108
-
-
0034578871
-
Modelling of the river flow rate: the influence of the training set selection
-
Kocjancic R., Zupan J. Modelling of the river flow rate: the influence of the training set selection. Chemomet. Intell. Lab. Syst. 2000, 54:21-34.
-
(2000)
Chemomet. Intell. Lab. Syst.
, vol.54
, pp. 21-34
-
-
Kocjancic, R.1
Zupan, J.2
-
109
-
-
34748823658
-
Dynamic soil profile determination with the use of a neural network
-
Kogut J. Dynamic soil profile determination with the use of a neural network. Comput. Assist. Mech. Eng. Sci. 2007, 14:209-217.
-
(2007)
Comput. Assist. Mech. Eng. Sci.
, vol.14
, pp. 209-217
-
-
Kogut, J.1
-
111
-
-
34848863752
-
A neural network approach to estimating deflection of diaphram walls caused by excavation in clays
-
Kung G.T., Hsiao E.C., Schuster M., Juang C. A neural network approach to estimating deflection of diaphram walls caused by excavation in clays. Comput. Geotech. 2007, 34:385-396.
-
(2007)
Comput. Geotech.
, vol.34
, pp. 385-396
-
-
Kung, G.T.1
Hsiao, E.C.2
Schuster, M.3
Juang, C.4
-
112
-
-
60549115430
-
ANN-based model for predicting the bearing capacity of strip footing on multi-layered cohesive soil
-
Kuo Y.L., Jaksa M.B., Lyamin A.V., Kaggwa W.S. ANN-based model for predicting the bearing capacity of strip footing on multi-layered cohesive soil. Comput. Geotech. 2009, 36:503-516.
-
(2009)
Comput. Geotech.
, vol.36
, pp. 503-516
-
-
Kuo, Y.L.1
Jaksa, M.B.2
Lyamin, A.V.3
Kaggwa, W.S.4
-
113
-
-
33745276242
-
Prediction of soil composition from CPT data using general regression neural network
-
Kurup P.U., Griffin E. Prediction of soil composition from CPT data using general regression neural network. J. Comput. Civil. Eng. 2006, 20:281-289.
-
(2006)
J. Comput. Civil. Eng.
, vol.20
, pp. 281-289
-
-
Kurup, P.U.1
Griffin, E.2
-
114
-
-
67649547253
-
Back-propagation neural network for assessment of highway slope failure in Taiwan
-
Lee T.L., Lin H.M., Jeng D.S., Lu Y.P. Back-propagation neural network for assessment of highway slope failure in Taiwan. Geotech. Eng. 2008, 39:121-128.
-
(2008)
Geotech. Eng.
, vol.39
, pp. 121-128
-
-
Lee, T.L.1
Lin, H.M.2
Jeng, D.S.3
Lu, Y.P.4
-
115
-
-
0032920124
-
Evaluating the use of goodness-of-fit measures in hydrologic and hydroclimatic model validation
-
Legates D.R., Mccabe G.J. Evaluating the use of goodness-of-fit measures in hydrologic and hydroclimatic model validation. Water Resour. Res. 1999, 35:233-241.
-
(1999)
Water Resour. Res.
, vol.35
, pp. 233-241
-
-
Legates, D.R.1
Mccabe, G.J.2
-
116
-
-
80052925636
-
An artificial neural network for groutability prediction of permeation grouting with microfine cement grouts
-
Liao K., Fan J., Huang C. An artificial neural network for groutability prediction of permeation grouting with microfine cement grouts. Comput. Geotech. 2011, 38:978-986.
-
(2011)
Comput. Geotech.
, vol.38
, pp. 978-986
-
-
Liao, K.1
Fan, J.2
Huang, C.3
-
117
-
-
17444389633
-
Underground blast induced ground shock and its modelling using artificial neural network
-
Lu Y. Underground blast induced ground shock and its modelling using artificial neural network. Comput. Geotech. 2005, 32:164-178.
-
(2005)
Comput. Geotech.
, vol.32
, pp. 164-178
-
-
Lu, Y.1
-
118
-
-
33748965006
-
The improved neural network and its application for valuing rock mass mechanical parameter
-
Ma S., Cao L., Li H. The improved neural network and its application for valuing rock mass mechanical parameter. J. Coal Sci. Eng. 2006, 12:21-24.
-
(2006)
J. Coal Sci. Eng.
, vol.12
, pp. 21-24
-
-
Ma, S.1
Cao, L.2
Li, H.3
-
119
-
-
0002704818
-
A practical Bayesian framework for backpropagation networks
-
Mackay G. A practical Bayesian framework for backpropagation networks. Neural. Comput. 1992, 4:448-472.
-
(1992)
Neural. Comput.
, vol.4
, pp. 448-472
-
-
Mackay, G.1
-
120
-
-
0001728122
-
Applications of artificial neural networks to forecasting of surface water quality variables: issues, applications and challenges
-
Kluwer, Dordrecht, The Netherlands, R.S. Govindaraju, A.R. Rao (Eds.)
-
Maier H.R., Dandy G.C. Applications of artificial neural networks to forecasting of surface water quality variables: issues, applications and challenges. Artificial Neural Networks in Hydrology 2000, Kluwer, Dordrecht, The Netherlands. R.S. Govindaraju, A.R. Rao (Eds.).
-
(2000)
Artificial Neural Networks in Hydrology
-
-
Maier, H.R.1
Dandy, G.C.2
-
121
-
-
0033957764
-
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
-
Maier H.R., Dandy G.C. Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications. Environ. Modell. Softw. 2000, 15:101-124.
-
(2000)
Environ. Modell. Softw.
, vol.15
, pp. 101-124
-
-
Maier, H.R.1
Dandy, G.C.2
-
122
-
-
46949088613
-
Prediction of elastic modulus of jointed rock mass using artificial neural networks
-
Maji V.B., Sitharam T.G. Prediction of elastic modulus of jointed rock mass using artificial neural networks. Geotech. Geol. Eng. 2008, 26:443-452.
-
(2008)
Geotech. Geol. Eng.
, vol.26
, pp. 443-452
-
-
Maji, V.B.1
Sitharam, T.G.2
-
124
-
-
44749087316
-
Non-linear variable selection for artificial neural networks using partial mutual information
-
May R.J., Maier H.R., Dandy G.C., Fernando T.M. Non-linear variable selection for artificial neural networks using partial mutual information. Environ. Model. Softw. 2008, 23:1312-1326.
-
(2008)
Environ. Model. Softw.
, vol.23
, pp. 1312-1326
-
-
May, R.J.1
Maier, H.R.2
Dandy, G.C.3
Fernando, T.M.4
-
125
-
-
51249194645
-
A logical calculus of ideas imminent in nervous activity
-
Mcculloch W.S., Pitts W. A logical calculus of ideas imminent in nervous activity. Bull. Math. Biophys. 1943, 5:115-133.
-
(1943)
Bull. Math. Biophys.
, vol.5
, pp. 115-133
-
-
Mcculloch, W.S.1
Pitts, W.2
-
126
-
-
79551483019
-
Empirical modeling of plate load test moduli of soil via gene expression programming
-
Mollahasani A., Alavi A.H., Gandomi A.H. Empirical modeling of plate load test moduli of soil via gene expression programming. Comput. Geotech. 2011, 38:281-286.
-
(2011)
Comput. Geotech.
, vol.38
, pp. 281-286
-
-
Mollahasani, A.1
Alavi, A.H.2
Gandomi, A.H.3
-
127
-
-
34848828929
-
Simulating the stress-strain behaviour of Georgia Kaolin via recurrent neuronet approach
-
Najjar Y.M., Huang C. Simulating the stress-strain behaviour of Georgia Kaolin via recurrent neuronet approach. Comput. Geotech. 2007, 34:346-362.
-
(2007)
Comput. Geotech.
, vol.34
, pp. 346-362
-
-
Najjar, Y.M.1
Huang, C.2
-
128
-
-
0030458149
-
On the identification of compaction characteristics by neuronets
-
Najjar Y.M., Basheer I.A., Naouss W.A. On the identification of compaction characteristics by neuronets. Comput. Geotech. 1996, 18:167-187.
-
(1996)
Comput. Geotech.
, vol.18
, pp. 167-187
-
-
Najjar, Y.M.1
Basheer, I.A.2
Naouss, W.A.3
-
129
-
-
33745661181
-
Prediction of unconfined compressive strength of soft grounds using computational intelligence techniques: a comparative study
-
Narendara B.S., Sivapullaiah P.V., Suresh S., Omkar S.N. Prediction of unconfined compressive strength of soft grounds using computational intelligence techniques: a comparative study. Comput. Geotech. 2006, 33:196-208.
-
(2006)
Comput. Geotech.
, vol.33
, pp. 196-208
-
-
Narendara, B.S.1
Sivapullaiah, P.V.2
Suresh, S.3
Omkar, S.N.4
-
130
-
-
0014776873
-
River flow forecasting through conceptual models
-
Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models. J. Hydrol. 1970, 10:282-290.
-
(1970)
J. Hydrol.
, vol.10
, pp. 282-290
-
-
Nash, J.E.1
Sutcliffe, J.V.2
-
131
-
-
30044435527
-
Prediction of tunnelling-induced ground movement with the multi-layer perceptron
-
Neaupane K.M., Adhikari N.R. Prediction of tunnelling-induced ground movement with the multi-layer perceptron. Tunn. Undergr. Space Technol. 2006, 21:151-159.
-
(2006)
Tunn. Undergr. Space Technol.
, vol.21
, pp. 151-159
-
-
Neaupane, K.M.1
Adhikari, N.R.2
-
133
-
-
19944397551
-
A fuzzy neural network approach to evaluation of slope failure potential
-
Ni S.H., Lu P.C., Juang C.H. A fuzzy neural network approach to evaluation of slope failure potential. J. Microcomput. Civ. Eng. 1996, 11:59-66.
-
(1996)
J. Microcomput. Civ. Eng.
, vol.11
, pp. 59-66
-
-
Ni, S.H.1
Lu, P.C.2
Juang, C.H.3
-
134
-
-
67649998907
-
A combined neural network/gradient-based approach for the identification of constitutive model parameters using self-boring pressuremeter tests
-
Obrzud R.F., Vulliet L., Truty A. A combined neural network/gradient-based approach for the identification of constitutive model parameters using self-boring pressuremeter tests. Int. J. Numer. Anal. Methods Geomech. 2009, 33:817-849.
-
(2009)
Int. J. Numer. Anal. Methods Geomech.
, vol.33
, pp. 817-849
-
-
Obrzud, R.F.1
Vulliet, L.2
Truty, A.3
-
135
-
-
3242721368
-
An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data
-
Olden J.D., Joy M.K., Death R.G. An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data. Ecol. Model. 2004, 178:389-397.
-
(2004)
Ecol. Model.
, vol.178
, pp. 389-397
-
-
Olden, J.D.1
Joy, M.K.2
Death, R.G.3
-
136
-
-
36749010178
-
Ultimate bearing capacity prediction of shallow foundations on cohesionless soils using neurofuzzy models
-
Padmini D., Ilamparuthi K., Sudheer K.P. Ultimate bearing capacity prediction of shallow foundations on cohesionless soils using neurofuzzy models. Comput. Geotech. 2008, 35:33-46.
-
(2008)
Comput. Geotech.
, vol.35
, pp. 33-46
-
-
Padmini, D.1
Ilamparuthi, K.2
Sudheer, K.P.3
-
137
-
-
45749119086
-
Modeling pile capacity using support vector machines and generalized regression neural network
-
Pal M., Deswal S. Modeling pile capacity using support vector machines and generalized regression neural network. J. Geotech. Geoenviron. Eng. 2008, 134:1021-1024.
-
(2008)
J. Geotech. Geoenviron. Eng.
, vol.134
, pp. 1021-1024
-
-
Pal, M.1
Deswal, S.2
-
139
-
-
79954639328
-
Evaluation of the compression index of soils using an artificial neural network
-
Park H., Lee S.R. Evaluation of the compression index of soils using an artificial neural network. Comput. Geotech. 2011, 38:472-481.
-
(2011)
Comput. Geotech.
, vol.38
, pp. 472-481
-
-
Park, H.1
Lee, S.R.2
-
140
-
-
79960532995
-
Development of neural network model to estimate the permeability coefficient of soils
-
Park H.I. Development of neural network model to estimate the permeability coefficient of soils. Mar. Georesour. Geotechnol. 2011, 29:267-278.
-
(2011)
Mar. Georesour. Geotechnol.
, vol.29
, pp. 267-278
-
-
Park, H.I.1
-
141
-
-
79960731183
-
Prediction of strength of reinforced lightweight soil using an artificial neural network
-
Park H.I., Kim Y.T. Prediction of strength of reinforced lightweight soil using an artificial neural network. Eng. Comput. 2011, 28:600-615.
-
(2011)
Eng. Comput.
, vol.28
, pp. 600-615
-
-
Park, H.I.1
Kim, Y.T.2
-
142
-
-
77249173249
-
An elasto-plastic constitutive model of moderate sandy clay based on BC-RBFNN
-
Peng X., Wang Z., Luo T., Yu M., Luo Y. An elasto-plastic constitutive model of moderate sandy clay based on BC-RBFNN. J. Cent. South Univ. Technol. 2008, 15:47-50.
-
(2008)
J. Cent. South Univ. Technol.
, vol.15
, pp. 47-50
-
-
Peng, X.1
Wang, Z.2
Luo, T.3
Yu, M.4
Luo, Y.5
-
143
-
-
67651006180
-
Prediction of pile settlement using artificial neural networks based on standard penetration test data
-
Pooya Nejad F., Jaksa M.B., Kakhi M., Mccabe B.A. Prediction of pile settlement using artificial neural networks based on standard penetration test data. Comput. Geotech. 2009.
-
(2009)
Comput. Geotech.
-
-
Pooya Nejad, F.1
Jaksa, M.B.2
Kakhi, M.3
Mccabe, B.A.4
-
144
-
-
1842687873
-
Interpretation of a model footing response through an adaptive neural fuzzy inference system
-
Provenzano P., Ferlisi S., Musso A. Interpretation of a model footing response through an adaptive neural fuzzy inference system. Comput. Geotech. 2004, 31:251-266.
-
(2004)
Comput. Geotech.
, vol.31
, pp. 251-266
-
-
Provenzano, P.1
Ferlisi, S.2
Musso, A.3
-
145
-
-
0034174354
-
Neural networks for agrichemical vulnerability assessment of rural private wells
-
Ray C., Klindworth K.K. Neural networks for agrichemical vulnerability assessment of rural private wells. J. Hydrol. Eng. 2000, 5:162-171.
-
(2000)
J. Hydrol. Eng.
, vol.5
, pp. 162-171
-
-
Ray, C.1
Klindworth, K.K.2
-
146
-
-
78649656808
-
An evolutionary based approach for assessment of earthquake-induced soil liquefaction and lateral displacement
-
Rezania M., Faramarzi A., Javadi A. An evolutionary based approach for assessment of earthquake-induced soil liquefaction and lateral displacement. Eng. Appl. Artif Intell. 2011, 24:142-153.
-
(2011)
Eng. Appl. Artif Intell.
, vol.24
, pp. 142-153
-
-
Rezania, M.1
Faramarzi, A.2
Javadi, A.3
-
147
-
-
70649110356
-
A new genetic programming model for predicting settlement of shallow foundations
-
Rezania M., Javadi A. A new genetic programming model for predicting settlement of shallow foundations. Can. Geotech. J. 2007, 44:1462-1472.
-
(2007)
Can. Geotech. J.
, vol.44
, pp. 1462-1472
-
-
Rezania, M.1
Javadi, A.2
-
148
-
-
70649105547
-
Evaluation of liquefaction potential based on CPT results using evolutionary polynomial regression
-
Rezania M., Javadi A., Giustolisi O. Evaluation of liquefaction potential based on CPT results using evolutionary polynomial regression. Comput. Geotech. 2010, 37:82-92.
-
(2010)
Comput. Geotech.
, vol.37
, pp. 82-92
-
-
Rezania, M.1
Javadi, A.2
Giustolisi, O.3
-
149
-
-
49149128168
-
An evolutionary-based data mining technique for assessment of civil engineering systems
-
Rezania M., Javadi A.A. An evolutionary-based data mining technique for assessment of civil engineering systems. Eng. Comput. Int. J. Comput. Aided Eng. Softw. 2008, 25:500-517.
-
(2008)
Eng. Comput. Int. J. Comput. Aided Eng. Softw.
, vol.25
, pp. 500-517
-
-
Rezania, M.1
Javadi, A.A.2
-
150
-
-
0000646059
-
Learning internal representation by error propagation
-
MIT Press, Cambridge, D.E. Rumelhart, J.L. McClelland (Eds.)
-
Rumelhart D.E., Hinton G.E., Williams R.J. Learning internal representation by error propagation. Parallel Distributed Processing 1986, MIT Press, Cambridge. D.E. Rumelhart, J.L. McClelland (Eds.).
-
(1986)
Parallel Distributed Processing
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
151
-
-
23844474449
-
A study of slope stability prediction using neural networks
-
Sakellariou M.G., Ferentinou M.D. A study of slope stability prediction using neural networks. Geotech. Geol. Eng. 2005, 23:419-445.
-
(2005)
Geotech. Geol. Eng.
, vol.23
, pp. 419-445
-
-
Sakellariou, M.G.1
Ferentinou, M.D.2
-
152
-
-
33645768800
-
Artificial neural network prediction of stability numbers for two-layered slopes with associated flow rule
-
<>
-
Samui P., Kumar B. Artificial neural network prediction of stability numbers for two-layered slopes with associated flow rule. Electron. J. Geotech. Eng. 2006, 11. .
-
(2006)
Electron. J. Geotech. Eng.
, vol.11
-
-
Samui, P.1
Kumar, B.2
-
153
-
-
79957572984
-
Determination of liquefaction susceptability of soil based on field test and artificial intelligence
-
Samui P., Sitharam T.G. Determination of liquefaction susceptability of soil based on field test and artificial intelligence. Int. J. Earth Sci. Eng. 2011, 4:216-222.
-
(2011)
Int. J. Earth Sci. Eng.
, vol.4
, pp. 216-222
-
-
Samui, P.1
Sitharam, T.G.2
-
154
-
-
42949166273
-
Artificial neural networks analysis of Sao Paulo subway tunnel settlement data
-
Santos J., Ovidio J., Celestino T.B. Artificial neural networks analysis of Sao Paulo subway tunnel settlement data. Tunnell. Undegr. Space Technol. 2008, 23:481-491.
-
(2008)
Tunnell. Undegr. Space Technol.
, vol.23
, pp. 481-491
-
-
Santos, J.1
Ovidio, J.2
Celestino, T.B.3
-
155
-
-
77957999072
-
Estimation of stregth parameters of rock using artificial neural networks
-
Sarkar K., Tiwary A., Singh T.N. Estimation of stregth parameters of rock using artificial neural networks. Bull. Eng. Geol. Environ. 2010, 69:599-606.
-
(2010)
Bull. Eng. Geol. Environ.
, vol.69
, pp. 599-606
-
-
Sarkar, K.1
Tiwary, A.2
Singh, T.N.3
-
156
-
-
33744806949
-
Modelling sewer failure by evolutionary computing
-
Savic D.A., Giutolisi O., Berardi L., Shepherd W., Djordjevic S., Saul A. Modelling sewer failure by evolutionary computing. Proc. Inst. Eng. Water Manage. 2006, 159:111-118.
-
(2006)
Proc. Inst. Eng. Water Manage.
, vol.159
, pp. 111-118
-
-
Savic, D.A.1
Giutolisi, O.2
Berardi, L.3
Shepherd, W.4
Djordjevic, S.5
Saul, A.6
-
157
-
-
67649822125
-
Shear modulus and damping ratio in aggregate-clay mixtures: an experimental study versus ANNs prediction
-
Shafiee A., Ghate R. Shear modulus and damping ratio in aggregate-clay mixtures: an experimental study versus ANNs prediction. J. Appl. Sci. 2008, 8:3068-3082.
-
(2008)
J. Appl. Sci.
, vol.8
, pp. 3068-3082
-
-
Shafiee, A.1
Ghate, R.2
-
158
-
-
76749110197
-
Intelligent computing for modelling axial capacity of pile foundations
-
Shahin M.A. Intelligent computing for modelling axial capacity of pile foundations. Can. Geotech. J. 2010, 47:230-243.
-
(2010)
Can. Geotech. J.
, vol.47
, pp. 230-243
-
-
Shahin, M.A.1
-
159
-
-
33846957663
-
Modelling the mechanical behaviour of railway ballast using artificial neural networks
-
Shahin M.A., Indraratna B. Modelling the mechanical behaviour of railway ballast using artificial neural networks. Can. Geotech. J. 2006, 43:1144-1152.
-
(2006)
Can. Geotech. J.
, vol.43
, pp. 1144-1152
-
-
Shahin, M.A.1
Indraratna, B.2
-
160
-
-
17444421871
-
Neural network prediction of pullout capacity of marquee ground anchors
-
Shahin M.A., Jaksa M.B. Neural network prediction of pullout capacity of marquee ground anchors. Comput. Geotech. 2005, 32:153-163.
-
(2005)
Comput. Geotech.
, vol.32
, pp. 153-163
-
-
Shahin, M.A.1
Jaksa, M.B.2
-
161
-
-
33746930800
-
Pullout capacity of small ground anchors by direct cone penetration test methods and neural networks
-
Shahin M.A., Jaksa M.B. Pullout capacity of small ground anchors by direct cone penetration test methods and neural networks. Can. Geotech. J. 2006, 43:626-637.
-
(2006)
Can. Geotech. J.
, vol.43
, pp. 626-637
-
-
Shahin, M.A.1
Jaksa, M.B.2
-
162
-
-
84930208606
-
Artificial neural network applications in geotechnical engineering
-
Shahin M.A., Jaksa M.B., Maier H.R. Artificial neural network applications in geotechnical engineering. Aust. Geomech. 2001, 36:49-62.
-
(2001)
Aust. Geomech.
, vol.36
, pp. 49-62
-
-
Shahin, M.A.1
Jaksa, M.B.2
Maier, H.R.3
-
163
-
-
19944393836
-
Artificial neural network-based settlement prediction formula for shallow foundations on granular soils
-
Shahin M.A., Jaksa M.B., Maier H.R. Artificial neural network-based settlement prediction formula for shallow foundations on granular soils. Aust. Geomech. 2002, 37:45-52.
-
(2002)
Aust. Geomech.
, vol.37
, pp. 45-52
-
-
Shahin, M.A.1
Jaksa, M.B.2
Maier, H.R.3
-
164
-
-
0242468288
-
Settlement prediction of shallow foundations on granular soils using B-spline neurofuzzy models
-
Shahin M.A., Maier H.R., Jaksa M.B. Settlement prediction of shallow foundations on granular soils using B-spline neurofuzzy models. Comput. Geotech. 2003, 30:637-647.
-
(2003)
Comput. Geotech.
, vol.30
, pp. 637-647
-
-
Shahin, M.A.1
Maier, H.R.2
Jaksa, M.B.3
-
165
-
-
16444364474
-
Data division for developing neural networks applied to geotechnical engineering
-
Shahin M.A., Maier H.R., Jaksa M.B. Data division for developing neural networks applied to geotechnical engineering. J. Comput. Civ. Eng. 2004, 18:105-114.
-
(2004)
J. Comput. Civ. Eng.
, vol.18
, pp. 105-114
-
-
Shahin, M.A.1
Maier, H.R.2
Jaksa, M.B.3
-
166
-
-
19944364218
-
Neural network based stochastic design charts for settlement prediction
-
Shahin M.A., Jaksa M.B., Maier H.R. Neural network based stochastic design charts for settlement prediction. Can. Geotech. J. 2005, 42:110-120.
-
(2005)
Can. Geotech. J.
, vol.42
, pp. 110-120
-
-
Shahin, M.A.1
Jaksa, M.B.2
Maier, H.R.3
-
167
-
-
60549085638
-
Investigation into the robustness of artificial neural network models for a case study in civil engineering
-
MODSIM 2005, Melbourne, Australia
-
Shahin, M.A., Maier, H.R., Jaksa, M.B., 2005b. Investigation into the robustness of artificial neural network models for a case study in civil engineering. In: Proceedings of the International Congress on Modelling and Simulation, MODSIM 2005, Melbourne, Australia, pp. 79-83.
-
(2005)
In: Proceedings of the International Congress on Modelling and Simulation
, pp. 79-83
-
-
Shahin, M.A.1
Maier, H.R.2
Jaksa, M.B.3
-
168
-
-
77955473867
-
Recent advances and future challenges for artificial neural systems in geotechnical engineering applications
-
Shahin M.A., Jaksa M.B., Maier H.R. Recent advances and future challenges for artificial neural systems in geotechnical engineering applications. J. Adv. Artif. Neural Syst. 2009, 10.1155/2009/308239.
-
(2009)
J. Adv. Artif. Neural Syst.
-
-
Shahin, M.A.1
Jaksa, M.B.2
Maier, H.R.3
-
169
-
-
77957786105
-
Numerical modeling of stress-strain behavior of sand under cyclic loading
-
Shahnazari H., Dehnavi Y., Alavi A.H. Numerical modeling of stress-strain behavior of sand under cyclic loading. Eng. Geol. 2010, 116:53-72.
-
(2010)
Eng. Geol.
, vol.116
, pp. 53-72
-
-
Shahnazari, H.1
Dehnavi, Y.2
Alavi, A.H.3
-
170
-
-
33645987256
-
Machine learning approacjes for estimation of prediction interval for the model output
-
Shrestha D.L., Solomatine D.P. Machine learning approacjes for estimation of prediction interval for the model output. Neural Networks 2006, 19.
-
(2006)
Neural Networks
, vol.19
-
-
Shrestha, D.L.1
Solomatine, D.P.2
-
171
-
-
74249093696
-
CPT-based simplified liquefaction assessment by using fuzzy-neural network
-
Shuh-Gi C., Ching-Yinn L. CPT-based simplified liquefaction assessment by using fuzzy-neural network. J. Mar. Sci. Technol. 2009, 17:326-331.
-
(2009)
J. Mar. Sci. Technol.
, vol.17
, pp. 326-331
-
-
Shuh-Gi, C.1
Ching-Yinn, L.2
-
172
-
-
17844387840
-
An intelligent approach to prediction and control ground vibration in mines
-
Singh T.N., Singh V. An intelligent approach to prediction and control ground vibration in mines. Geotech. Geol. Eng. 2005, (23):249-262.
-
(2005)
Geotech. Geol. Eng.
, Issue.23
, pp. 249-262
-
-
Singh, T.N.1
Singh, V.2
-
173
-
-
12844266377
-
Slake durability of shaly rock and its predictions
-
Singh T.N., Verma A.K., Singh V., Sahu A. Slake durability of shaly rock and its predictions. Environ. Geol. 2005, 47:246-253.
-
(2005)
Environ. Geol.
, vol.47
, pp. 246-253
-
-
Singh, T.N.1
Verma, A.K.2
Singh, V.3
Sahu, A.4
-
174
-
-
34347385017
-
A neuro-genetic approach for prediction of time dependent deformational characteristic of rock and its sensitivity analysis
-
Singh T.N., Verma A.K., Sharma P.K. A neuro-genetic approach for prediction of time dependent deformational characteristic of rock and its sensitivity analysis. Geotech. Geol. Eng. 2007, 25:395-407.
-
(2007)
Geotech. Geol. Eng.
, vol.25
, pp. 395-407
-
-
Singh, T.N.1
Verma, A.K.2
Sharma, P.K.3
-
175
-
-
39849106475
-
Artificial neural network prediction models for soil compaction and permeability
-
Sinha S.K., Wang M.C. Artificial neural network prediction models for soil compaction and permeability. Geotech. Eng. J. 2008, 26:47-64.
-
(2008)
Geotech. Eng. J.
, vol.26
, pp. 47-64
-
-
Sinha, S.K.1
Wang, M.C.2
-
176
-
-
51049098098
-
Spatial variability of rock depth in Bangalore using geostatistical, neural network and support vector machine models
-
Sitharam T.G., Samui P., Anbazhagan P. Spatial variability of rock depth in Bangalore using geostatistical, neural network and support vector machine models. Geotech. Geol. Eng. 2008, 26:503-517.
-
(2008)
Geotech. Geol. Eng.
, vol.26
, pp. 503-517
-
-
Sitharam, T.G.1
Samui, P.2
Anbazhagan, P.3
-
177
-
-
81155146014
-
Estimation of compaction parameters of fine-grained soils in terms of compaction energy using artificial neural networks
-
Sivrikaya O., Soycan T.Y. Estimation of compaction parameters of fine-grained soils in terms of compaction energy using artificial neural networks. Int. J. Numer. Anal. Methods Geomech. 2011, 35:1830-1841.
-
(2011)
Int. J. Numer. Anal. Methods Geomech.
, vol.35
, pp. 1830-1841
-
-
Sivrikaya, O.1
Soycan, T.Y.2
-
179
-
-
39449089195
-
Data-driven modelling: some past experience and new approaches
-
Solomatine D.P., Ostfeld A. Data-driven modelling: some past experience and new approaches. J. Hydroinform. 2008, 10:3-22.
-
(2008)
J. Hydroinform.
, vol.10
, pp. 3-22
-
-
Solomatine, D.P.1
Ostfeld, A.2
-
180
-
-
33646104434
-
Simulation of 3D effect of excavation face advancement using an ANN trained by numerical models
-
<>
-
Soroush A., Foroozan R., Asadollahi P. Simulation of 3D effect of excavation face advancement using an ANN trained by numerical models. Electron. J. Geotech. Eng. 2006, 11. .
-
(2006)
Electron. J. Geotech. Eng.
, vol.11
-
-
Soroush, A.1
Foroozan, R.2
Asadollahi, P.3
-
181
-
-
0000629975
-
Cross-validatory choice and assessment of statistical predictions
-
Stone M. Cross-validatory choice and assessment of statistical predictions. J. Roy. Stat. Soc. B 1974, 36:111-147.
-
(1974)
J. Roy. Stat. Soc. B
, vol.36
, pp. 111-147
-
-
Stone, M.1
-
182
-
-
23044433719
-
Knowledge extraction from trained neural network river flow models
-
Sudheer K.P. knowledge extraction from trained neural network river flow models. J Hydrol. Eng. 2005, 10:264-269.
-
(2005)
J Hydrol. Eng.
, vol.10
, pp. 264-269
-
-
Sudheer, K.P.1
-
183
-
-
1642333234
-
Explaining the internal behaviour of artificial neural network river flow models
-
Sudheer K.P., Jain A. Explaining the internal behaviour of artificial neural network river flow models. Hydrol. Processes 2004, 18:833-844.
-
(2004)
Hydrol. Processes
, vol.18
, pp. 833-844
-
-
Sudheer, K.P.1
Jain, A.2
-
184
-
-
0037470339
-
Improving peak flow estimates in artificial neural network river flow models
-
Sudheer K.P., Nayak P.C., Ramasastri K.S. Improving peak flow estimates in artificial neural network river flow models. Hydrol. Processes 2003, 17:677-686.
-
(2003)
Hydrol. Processes
, vol.17
, pp. 677-686
-
-
Sudheer, K.P.1
Nayak, P.C.2
Ramasastri, K.S.3
-
185
-
-
79952560849
-
Neural modelling of compactability characteristics of cohessionless soil
-
Sulewska M.J. Neural modelling of compactability characteristics of cohessionless soil. Comput. Assist. Mech. Eng. Sci. 2010, 17:27-40.
-
(2010)
Comput. Assist. Mech. Eng. Sci.
, vol.17
, pp. 27-40
-
-
Sulewska, M.J.1
-
186
-
-
74549162117
-
Prediction of uniaxial compression PFC3D model micro-properties using artificial neural networks
-
Tawadrous A.S., Degagne D., Pierce M., Masivars D. Prediction of uniaxial compression PFC3D model micro-properties using artificial neural networks. Int. J. Numer. Anal. Methods Geomech. 2009, 33:1953-1962.
-
(2009)
Int. J. Numer. Anal. Methods Geomech.
, vol.33
, pp. 1953-1962
-
-
Tawadrous, A.S.1
Degagne, D.2
Pierce, M.3
Masivars, D.4
-
187
-
-
79551588368
-
Artificial neural networks approach for estimating the groutability of granular soils with cement-based grouts
-
Tekin E., Akbas S.O. Artificial neural networks approach for estimating the groutability of granular soils with cement-based grouts. Bull. Eng. Geol. Environ. 2011, 70:153-161.
-
(2011)
Bull. Eng. Geol. Environ.
, vol.70
, pp. 153-161
-
-
Tekin, E.1
Akbas, S.O.2
-
188
-
-
39149131373
-
High energy physics event selection with gene expression programming
-
Teodorescu L., Sherwood D. High energy physics event selection with gene expression programming. Comupt. Phys. Commun. 2008, 178:409-419.
-
(2008)
Comupt. Phys. Commun.
, vol.178
, pp. 409-419
-
-
Teodorescu, L.1
Sherwood, D.2
-
189
-
-
0033167344
-
Rainfall-runoff modeling using artificial neural networks
-
Tokar S.A., Johnson P.A. Rainfall-runoff modeling using artificial neural networks. J. Hydrol. Eng. 1999, 4:232-239.
-
(1999)
J. Hydrol. Eng.
, vol.4
, pp. 232-239
-
-
Tokar, S.A.1
Johnson, P.A.2
-
190
-
-
79958268617
-
An optimized neural network for predicting settlements during tunneling excavation
-
Tsekouras G.J., Koukoulis J., Mastorakis N.E. An optimized neural network for predicting settlements during tunneling excavation. WSEAS Trans. Syst. 2010, 9:1153-1167.
-
(2010)
WSEAS Trans. Syst.
, vol.9
, pp. 1153-1167
-
-
Tsekouras, G.J.1
Koukoulis, J.2
Mastorakis, N.E.3
-
191
-
-
64849096119
-
Simulating the seismic response of embankments via artificial neural networks
-
Tsompanakis Y., Lagaros N.D., Psarropoulos P.N., Georgopoulos E.C. Simulating the seismic response of embankments via artificial neural networks. Adv. Eng. Softw. 2009, 40:640-651.
-
(2009)
Adv. Eng. Softw.
, vol.40
, pp. 640-651
-
-
Tsompanakis, Y.1
Lagaros, N.D.2
Psarropoulos, P.N.3
Georgopoulos, E.C.4
-
192
-
-
0030681183
-
Validation and verification
-
ASCE, New York, N. Kartam, I. Flood, J.H. Garrett (Eds.)
-
Twomey J.M., Smith A.E. Validation and verification. Artificial Neural Networks for Civil Engineers: Fundamentals and Applications 1997, ASCE, New York. N. Kartam, I. Flood, J.H. Garrett (Eds.).
-
(1997)
Artificial Neural Networks for Civil Engineers: Fundamentals and Applications
-
-
Twomey, J.M.1
Smith, A.E.2
-
193
-
-
70849084929
-
Prediction of lateral effective stresses in sand using artificial neural network
-
Uncuoglu E., Laman M., Saglamer A., Kara H.B. Prediction of lateral effective stresses in sand using artificial neural network. Soils Found 2008, 48:141-153.
-
(2008)
Soils Found
, vol.48
, pp. 141-153
-
-
Uncuoglu, E.1
Laman, M.2
Saglamer, A.3
Kara, H.B.4
-
195
-
-
32544437355
-
Rainfall-induced landslide hazard assessment using artificial neural networks
-
Wang H.B., Sassa K. Rainfall-induced landslide hazard assessment using artificial neural networks. Earth Surf. Processes Landforms 2006, 31:235-247.
-
(2006)
Earth Surf. Processes Landforms
, vol.31
, pp. 235-247
-
-
Wang, H.B.1
Sassa, K.2
-
196
-
-
0036090265
-
The artificial neural network as a tool for assessing geotechnical properties
-
Yang Y., Rosenbaum M.S. The artificial neural network as a tool for assessing geotechnical properties. Geotech. Eng. J. 2002, 20:149-168.
-
(2002)
Geotech. Eng. J.
, vol.20
, pp. 149-168
-
-
Yang, Y.1
Rosenbaum, M.S.2
-
197
-
-
77955546341
-
Lateral pressures on rigid retaining walls: a neural network approach
-
Yildiz E., Ozyazicioglu M.H., Ozkan M.Y. Lateral pressures on rigid retaining walls: a neural network approach. Gazi Univ. J. Sci. 2010, 23:201-210.
-
(2010)
Gazi Univ. J. Sci.
, vol.23
, pp. 201-210
-
-
Yildiz, E.1
Ozyazicioglu, M.H.2
Ozkan, M.Y.3
-
198
-
-
33845488712
-
Tunneling performance prediction using an integrated GIS and neural network
-
Yoo C., Kim J. Tunneling performance prediction using an integrated GIS and neural network. Comput. Geotech. 2007, 34:19-30.
-
(2007)
Comput. Geotech.
, vol.34
, pp. 19-30
-
-
Yoo, C.1
Kim, J.2
-
199
-
-
33751206829
-
Use of artificial neural networks in the prediction of liquefaction resistance of sands
-
Young-Su K., Byung-Tak K. Use of artificial neural networks in the prediction of liquefaction resistance of sands. J. Geotech. Geoenviron. Eng. 2006, 132:1502-1504.
-
(2006)
J. Geotech. Geoenviron. Eng.
, vol.132
, pp. 1502-1504
-
-
Young-Su, K.1
Byung-Tak, K.2
-
200
-
-
36349001715
-
An intelligent displacement back-analysis method for earth-rockfill dams
-
Yu Y., Zhang B., Yuan H. An intelligent displacement back-analysis method for earth-rockfill dams. Comput. Geotech. 2007, 34:423-434.
-
(2007)
Comput. Geotech.
, vol.34
, pp. 423-434
-
-
Yu, Y.1
Zhang, B.2
Yuan, H.3
-
201
-
-
58549088485
-
Estimation of current-induced scour depth around pile groups using neural network and adaptive neuro-fuzzy inference system
-
Zounemat-Kermani M., Beheshti A.A., Ataie-Ashtiani B., Asabbagh-Yazdi S.R. Estimation of current-induced scour depth around pile groups using neural network and adaptive neuro-fuzzy inference system. Appl. Soft Comput. 2009, 9:746-755.
-
(2009)
Appl. Soft Comput.
, vol.9
, pp. 746-755
-
-
Zounemat-Kermani, M.1
Beheshti, A.A.2
Ataie-Ashtiani, B.3
Asabbagh-Yazdi, S.R.4
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