-
1
-
-
33744831397
-
A data mining approach to modeling sediment transport
-
Bhattacharya, B.; Price, R.K., and Solomatine, D.P., 2004. A data mining approach to modeling sediment transport. 6th International Conference on Hydroinformatics (Singapore, hosted by Hydroinformatics Society of Singapore, jointly organized by International Association of Hydraulics Engineering and Research, International Association for Hydrological Science, and International Water Association).
-
(2004)
6th International Conference on Hydroinformatics (Singapore, Hosted by Hydroinformatics Society of Singapore, Jointly Organized by International Association of Hydraulics Engineering and Research, International Association for Hydrological Science, and International Water Association)
-
-
Bhattacharya, B.1
Price, R.K.2
Solomatine, D.P.3
-
2
-
-
34247282207
-
Near-shore swell estimation from a global wind-wave model: Spectral process, linear, and artificial neural network models
-
DOI 10.1016/j.coastaleng.2006.11.007, PII S0378383906001840
-
Browne, M.; Castelle, B.; Strauss, D.; Tomilnson, R.; Blumenstein, M., and Lane, C., 2007. Nearshore swell estimation from a global windwave model spectral process, linear and artificial neural network models. Journal of Coastal Engineering, 54, 445-460. (Pubitemid 46621739)
-
(2007)
Coastal Engineering
, vol.54
, Issue.5
, pp. 445-460
-
-
Browne, M.1
Castelle, B.2
Strauss, D.3
Tomlinson, R.4
Blumenstein, M.5
Lane, C.6
-
3
-
-
78751497885
-
Application of genetic programming to solve coastal and ocean engineering problems
-
Session A1
-
Charhate, S.B. and Deo, M.C., 2007. Application of genetic programming to solve coastal and ocean engineering problems. In: Proceedings of the International Workshop on Advances in Hydroinformatics (Niagara Falls, Canada, International Association of Hydraulics Engineering and Research, International Association for Hydrological Science), Session A1, pp.1-14.
-
(2007)
Proceedings of the International Workshop on Advances in Hydroinformatics (Niagara Falls, Canada, International Association of Hydraulics Engineering and Research, International Association for Hydrological Science)
, pp. 1-14
-
-
Charhate, S.B.1
Deo, M.C.2
-
4
-
-
77949664611
-
Genetic programming for real time prediction of offshore wind
-
Charhate, S.B.; Deo, M.C., and Londhe, S.N., 2009. Genetic programming for real time prediction of offshore wind. Journal of Ships and Offshore Structures, 4(1), 77-88.
-
(2009)
Journal of Ships and Offshore Structures
, vol.4
, Issue.1
, pp. 77-88
-
-
Charhate, S.B.1
Deo, M.C.2
Londhe, S.N.3
-
5
-
-
0034749335
-
Hydrological modelling using artificial neural networks
-
DOI 10.1191/030913301674775671
-
Dawson, C.W. and Wilby, R.L., 2001. Hydrological modeling using artificial neural networks. Journal of Progress in Physical Geography, 25 (1), 80-108. (Pubitemid 33028258)
-
(2001)
Progress in Physical Geography
, vol.25
, Issue.1
, pp. 80-108
-
-
Dawson, C.W.1
Wilby, R.L.2
-
6
-
-
84856022058
-
Recent data driven methods and applications in coastal and hydrologic data analysis
-
Deo, M.C., 2009. Recent data driven methods and applications in coastal and hydrologic data analysis. ISH Journal of Hydraulic Engineering, 15(1), 310-327.
-
(2009)
ISH Journal of Hydraulic Engineering
, vol.15
, Issue.1
, pp. 310-327
-
-
Deo, M.C.1
-
7
-
-
46749107461
-
Real time wave forecasting using genetic programming
-
Gaur, S. and Deo, M.C., 2008. Real time wave forecasting using genetic programming. Journal of Ocean Engineering, 35, 1166-1172.
-
(2008)
Journal of Ocean Engineering
, vol.35
, pp. 1166-1172
-
-
Gaur, S.1
Deo, M.C.2
-
8
-
-
77950864370
-
Sea water level forecasting using genetic programming and comparing the performance with artificial neural networks
-
Ghorbani, M.A.; Khatibi, R.; Aytek, A.; Makarynskyy, O., and Shiri, J., 2010. Sea water level forecasting using genetic programming and comparing the performance with artificial neural networks. Journal of Computers & Geosciences, 36, 620-627.
-
(2010)
Journal of Computers & Geosciences
, vol.36
, pp. 620-627
-
-
Ghorbani, M.A.1
Khatibi, R.2
Aytek, A.3
Makarynskyy, O.4
Shiri, J.5
-
9
-
-
51149105489
-
The estimation of monthly mean significant wave heights by using artificial neural network and regression methods
-
Gunaydin, K., 2008. The estimation of monthly mean significant wave heights by using artificial neural network and regression methods. Journal of Ocean Engineering, 35, 1406-1415.
-
(2008)
Journal of Ocean Engineering
, vol.35
, pp. 1406-1415
-
-
Gunaydin, K.1
-
10
-
-
70349731388
-
Artificial intelligence tools to forecast ocean waves in real time
-
Jain, P. and Deo, M.C., 2008. Artificial intelligence tools to forecast ocean waves in real time. The Open Ocean Engineering Journal, 1, 13-20.
-
(2008)
The Open Ocean Engineering Journal
, vol.1
, pp. 13-20
-
-
Jain, P.1
Deo, M.C.2
-
11
-
-
78651585866
-
Wave simulation and forecasting using wind time history and data driven methods
-
DOI: 10.1080/17445300903439223
-
Kambekar, A.R. and Deo, M.C., 2010. Wave simulation and forecasting using wind time history and data driven methods. Journal of Ships and Offshore Structures, 1744-5302, DOI: 10.1080/17445300903439223.
-
(2010)
Journal of Ships and Offshore Structures
, pp. 1744-5302
-
-
Kambekar, A.R.1
Deo, M.C.2
-
12
-
-
85144998533
-
Ocean wave forecasting in the Gulf of Thailand during typhoon Linda 1997, WAM and neural network approaches
-
Kanbua, W.; Supharatid, S., and Tang, I., 2005. Ocean wave forecasting in the Gulf of Thailand during typhoon Linda 1997, WAM and neural network approaches. Science Asia Journal, 31, 243-250.
-
(2005)
Science Asia Journal
, vol.31
, pp. 243-250
-
-
Kanbua, W.1
Supharatid, S.2
Tang, I.3
-
13
-
-
22144443524
-
Application of fuzzy inference system in the prediction of wave parameters
-
DOI 10.1016/j.oceaneng.2005.02.001, PII S0029801805000533
-
Kazeminezhad, M.H.; Etemad-Shahidi, A., and Mousavi, S.J., 2005. Application of fuzzy inference system in the prediction of wave parameters. Journal of Ocean Engineering, 32, 1709-1725. (Pubitemid 40975346)
-
(2005)
Ocean Engineering
, vol.32
, Issue.14-15
, pp. 1709-1725
-
-
Kazeminezhad, M.H.1
Etemad-Shahidi, A.2
Mousavi, S.J.3
-
14
-
-
2942734969
-
Nearshore wave prediction by coupling a wave model and statistical methods
-
DOI 10.1016/j.coastaleng.2004.03.002, PII S0378383904000390
-
Kobayashi, T. and Yasuda, T., 2004. Nearshore wave prediction by coupling a wave model and statistical methods. Journal of Coastal Engineering, 51, 297-308. (Pubitemid 38791036)
-
(2004)
Coastal Engineering
, vol.51
, Issue.4
, pp. 297-308
-
-
Kobayashi, T.1
Yasuda, T.2
-
16
-
-
0036373412
-
A neural network technique to improve computational efficiency of numerical oceanic models
-
Krasnopolsky, V.M.; Chalikov, D.V., and Tolman, H.L., 2002. A neural network technique to improve computational efficiency of numerical oceanic models. Journal of Ocean Engineering, 4(3-4), 363-383.
-
(2002)
Journal of Ocean Engineering
, vol.4
, Issue.3-4
, pp. 363-383
-
-
Krasnopolsky, V.M.1
Chalikov, D.V.2
Tolman, H.L.3
-
17
-
-
50649091344
-
Hindcasting of wave parameters using different soft computing methods
-
Mahjoobi, J.; Shahidi, E., and Kazeminezhad, M. H., 2008. Hindcasting of wave parameters using different soft computing methods. Journal of Applied Ocean Research, 30, 28-36.
-
(2008)
Journal of Applied Ocean Research
, vol.30
, pp. 28-36
-
-
Mahjoobi, J.1
Shahidi, E.2
Kazeminezhad, M.H.3
-
18
-
-
34250787221
-
Filling gaps in wave records with artificial neural networks
-
Guedes Soares, C., Garbatov, Y., and Fonseca N. (eds.) London: Taylor & Francis
-
Makarynskyy, O.; Makarynska, D.; Rusu, E., and Gavrilov, A., 2005. Filling gaps in wave records with artificial neural networks. In: Guedes Soares, C., Garbatov, Y., and Fonseca N. (eds.), Maritime Transportation and Exploitation of Ocean and Coastal Resources. London: Taylor & Francis, pp. 1085-1091.
-
(2005)
Maritime Transportation and Exploitation of Ocean and Coastal Resources
, pp. 1085-1091
-
-
Makarynskyy, O.1
Makarynska, D.2
Rusu, E.3
Gavrilov, A.4
-
19
-
-
34250759987
-
Wave prediction and data supplementation using artificial neural networks
-
Makarynskyy, O. and. Makarynska, D., 2006. Wave prediction and data supplementation using artificial neural networks. Journal of Coastal Research, 22,146-155.
-
(2006)
Journal of Coastal Research
, vol.22
, pp. 146-155
-
-
Makarynskyy, O.1
Makarynska, D.2
-
20
-
-
38849097226
-
Wave hindcasting by coupling numerical model and artificial neural networks
-
DOI 10.1016/j.oceaneng.2007.09.003, PII S0029801807002107
-
Malekmohamadi, I.; Malekmohamadi, R.; Ghiassi, R., and Yazdanpanah, M.J., 2008. Wave hindcasting by coupling numerical model and artificial neural networks. Journal of Ocean Engineering, 35(3-4), 417-425. (Pubitemid 351189043)
-
(2008)
Ocean Engineering
, vol.35
, Issue.3-4
, pp. 417-425
-
-
Malekmohamadi, I.1
Ghiassi, R.2
Yazdanpanah, M.J.3
-
21
-
-
84855992330
-
-
NIOT (National Institute of Ocean Technology (accessed February 5, 2010)
-
NIOT (National Institute of Ocean Technology). 2010. National Institute of Ocean Technology. http://www.niot.res.in/ndbp/by-lo. html (accessed February 5, 2010).
-
(2010)
National Institute of Ocean Technology
-
-
-
23
-
-
0000779360
-
Detecting strange attractors in turbulence in dynamical systems and turbulance
-
Berlin: Springer-Verlag
-
Takens, F., 1981. Detecting strange attractors in turbulence in dynamical systems and turbulance. In: Springer Lectures Notes in Mathematics, volume 898, Berlin: Springer-Verlag.
-
(1981)
Springer Lectures Notes in Mathematics
, vol.898
-
-
Takens, F.1
-
24
-
-
0033167344
-
Rainfall-runoff modeling using Artificial Neural Networks
-
DOI 10.1061/(ASCE)1084-0699(1999)4:3(232)
-
Toker, A.S. and Johnson, P.A., 1999. Rainfall-runoff modeling using artificial neural networks. Journal of Hydrologic Engineering, 4(3), 232-239. (Pubitemid 29437829)
-
(1999)
Journal of Hydrologic Engineering
, vol.4
, Issue.3
, pp. 232-239
-
-
Tokar, A.S.1
Johnson, P.A.2
-
25
-
-
0034174397
-
Precipitation-runoff modeling using artificial neural networks and conceptual models
-
DOI 10.1061/(ASCE)1084-0699(2000)5:2(156)
-
Toker, A.S. and Markus, M., 2000. Precipitation-runoff modeling using artificial neural networks and conceptual models. Journal of Hydrologic Engineering, 5(2), 156-161. (Pubitemid 30458087)
-
(2000)
Journal of Hydrologic Engineering
, vol.5
, Issue.2
, pp. 156-161
-
-
Tokar, A.S.1
Markus, M.2
-
26
-
-
0003958307
-
-
USACE (U.S. Army Corps of Engineers) 4th edition. Washington, D.C.: U.S. Army Corps of Engineers, Coastal Engineering Research Center, Waterways Experiment Station
-
USACE (U.S. Army Corps of Engineers), 1984. Shore Protection Manual, 4th edition. Washington, D.C.: U.S. Army Corps of Engineers, Coastal Engineering Research Center, Waterways Experiment Station, 1088p.
-
(1984)
Shore Protection Manual
, pp. 1088
-
-
-
27
-
-
84856016853
-
Meteorology and wave climate
-
USACE Washington, D.C.: U.S. Army Corps of Engineers
-
USACE, 2003. Meteorology and wave climate. In: Coastal Engineering Manual, Chapter II-2, Engineer Manual, 1110-2-1100. Washington, D.C.: U.S. Army Corps of Engineers
-
(2003)
Coastal Engineering Manual, Chapter II-2, Engineer Manual
, pp. 1110-21100
-
-
-
28
-
-
43849095640
-
Learning from data for wind wave forecasting
-
Zamani, A.; Solomatine, D.; Azimian, A., and Heemink, A., 2008. Learning from data for wind wave forecasting. Journal of Ocean Engineering, 35, 953-962.
-
(2008)
Journal of Ocean Engineering
, vol.35
, pp. 953-962
-
-
Zamani, A.1
Solomatine, D.2
Azimian, A.3
Heemink, A.4
-
29
-
-
33745627084
-
An adjoint sensitivity technique for dynamic neural-network modeling and design of high-speed interconnect
-
DOI 10.1002/mmce.20159
-
Zhang, Q.J.; Cao, Y.; Xu J.J.; Devabhaktuni, V.K., and Ding, R.T., 2006. An adjoint sensitivity technique for dynamic neural network modeling and design of high-speed interconnect. Journal on RF and Microwave CAE, 16(4), 385-399. (Pubitemid 43989304)
-
(2006)
International Journal of RF and Microwave Computer-Aided Engineering
, vol.16
, Issue.4
, pp. 385-399
-
-
Cao, Y.1
Xu, J.2
Devabhaktuni, V.K.3
Ding, R.4
Zhang, Q.-J.5
|