-
2
-
-
84894656572
-
The prediction of undersaturated crude oil viscosity: an artificial neural network and fuzzy model approach
-
Abedini R., Esfandyari M., Nezhadmoghadam A., Rahmanian B. The prediction of undersaturated crude oil viscosity: an artificial neural network and fuzzy model approach. Petrol. Sci. Technol. 2012, 30:2008-2021.
-
(2012)
Petrol. Sci. Technol.
, vol.30
, pp. 2008-2021
-
-
Abedini, R.1
Esfandyari, M.2
Nezhadmoghadam, A.3
Rahmanian, B.4
-
3
-
-
78751706005
-
Prediction of thrust and torque requirements of TBMs with fuzzy logic models
-
Acaroglu O. Prediction of thrust and torque requirements of TBMs with fuzzy logic models. Tunnel. Undergr. Space Technol. 2011, 26:267-275.
-
(2011)
Tunnel. Undergr. Space Technol.
, vol.26
, pp. 267-275
-
-
Acaroglu, O.1
-
4
-
-
81255134237
-
Adaptive network-based fuzzy inference system analysis of mixed convection in a two-sided lid-driven cavity filled with a nanofluid
-
Aminossadati S., Kargar A., Ghasemi B. Adaptive network-based fuzzy inference system analysis of mixed convection in a two-sided lid-driven cavity filled with a nanofluid. Int. J. Therm. Sci. 2012, 52:102-111.
-
(2012)
Int. J. Therm. Sci.
, vol.52
, pp. 102-111
-
-
Aminossadati, S.1
Kargar, A.2
Ghasemi, B.3
-
5
-
-
26944486202
-
Ahybrid meta-heuristic approach for natural gas pipeline network optimization
-
Springer
-
Borraz-Sánchez C., Ríos-Mercado R.Z. Ahybrid meta-heuristic approach for natural gas pipeline network optimization. Hybrid Metaheuristics 2005, 54-65. Springer.
-
(2005)
Hybrid Metaheuristics
, pp. 54-65
-
-
Borraz-Sánchez, C.1
Ríos-Mercado, R.Z.2
-
6
-
-
57049090491
-
Improving the operation of pipeline systems on cyclic structures by tabu search
-
Borraz-Sánchez C., Ríos-Mercado R.Z. Improving the operation of pipeline systems on cyclic structures by tabu search. Comput. Chem. Eng. 2009, 33:58-64.
-
(2009)
Comput. Chem. Eng.
, vol.33
, pp. 58-64
-
-
Borraz-Sánchez, C.1
Ríos-Mercado, R.Z.2
-
7
-
-
71849088557
-
Transient flow in natural gas pipeline - the effect of pipeline thermal model
-
Chaczykowski M. Transient flow in natural gas pipeline - the effect of pipeline thermal model. Appl. Math. Model. 2010, 34:1051-1067.
-
(2010)
Appl. Math. Model.
, vol.34
, pp. 1051-1067
-
-
Chaczykowski, M.1
-
8
-
-
79951515823
-
Exergy-based analysis of gas transmission system with application to Yamal-Europe pipeline
-
Chaczykowski M., Osiadacz A., Uilhoorn F. Exergy-based analysis of gas transmission system with application to Yamal-Europe pipeline. Appl. Energy 2011, 88:2219-2230.
-
(2011)
Appl. Energy
, vol.88
, pp. 2219-2230
-
-
Chaczykowski, M.1
Osiadacz, A.2
Uilhoorn, F.3
-
9
-
-
0042167518
-
Studies on the applicability of artificial neural network (ANN) in emulsion liquid membranes
-
Chakraborty M., Bhattacharya C., Dutta S. Studies on the applicability of artificial neural network (ANN) in emulsion liquid membranes. J.Membr. Sci. 2003, 220:155-164.
-
(2003)
J.Membr. Sci.
, vol.220
, pp. 155-164
-
-
Chakraborty, M.1
Bhattacharya, C.2
Dutta, S.3
-
10
-
-
56549084190
-
Optimization of natural gas pipeline transportation using ant colony optimization
-
Chebouba A., Yalaoui F., Smati A., Amodeo L., Younsi K., Tairi A. Optimization of natural gas pipeline transportation using ant colony optimization. Comput. Oper. Res. 2009, 36:1916-1923.
-
(2009)
Comput. Oper. Res.
, vol.36
, pp. 1916-1923
-
-
Chebouba, A.1
Yalaoui, F.2
Smati, A.3
Amodeo, L.4
Younsi, K.5
Tairi, A.6
-
11
-
-
34249869588
-
2/UV system: optimization and modeling using a response surface methodology (RSM) based on the central composite design
-
2/UV system: optimization and modeling using a response surface methodology (RSM) based on the central composite design. Dyes Pigm. 2007, 75:533-543.
-
(2007)
Dyes Pigm.
, vol.75
, pp. 533-543
-
-
Cho, I.-H.1
Zoh, K.-D.2
-
12
-
-
23044443211
-
Application of generalized regression neural networks to intermittent flow forecasting and estimation
-
Cigizoglu H.K. Application of generalized regression neural networks to intermittent flow forecasting and estimation. J.Hydrol. Eng. 2005, 10:336-341.
-
(2005)
J.Hydrol. Eng.
, vol.10
, pp. 336-341
-
-
Cigizoglu, H.K.1
-
13
-
-
0000301867
-
Turbulent flow in pipes, with particular reference to the transition region between the smooth and rough pipe laws
-
Colebrook C.F. Turbulent flow in pipes, with particular reference to the transition region between the smooth and rough pipe laws. J.ICE 1939, 11:133-156.
-
(1939)
J.ICE
, vol.11
, pp. 133-156
-
-
Colebrook, C.F.1
-
14
-
-
84858974195
-
Predicting the mechanical properties of glass fiber reinforced polymers via artificial neural network and adaptive neuro-fuzzy inference system
-
Fazilat H., Ghatarband M., Mazinani S., Asadi Z., Shiri M., Kalaee M. Predicting the mechanical properties of glass fiber reinforced polymers via artificial neural network and adaptive neuro-fuzzy inference system. Comput. Mater. Sci. 2012, 58:31-37.
-
(2012)
Comput. Mater. Sci.
, vol.58
, pp. 31-37
-
-
Fazilat, H.1
Ghatarband, M.2
Mazinani, S.3
Asadi, Z.4
Shiri, M.5
Kalaee, M.6
-
15
-
-
77955662816
-
Solution of the turbocompressor boundary condition for one-dimensional gas-dynamic codes
-
Galindo J., Arnau F., Tiseira A., Piqueras P. Solution of the turbocompressor boundary condition for one-dimensional gas-dynamic codes. Math. Comput. Model. 2010, 52:1288-1297.
-
(2010)
Math. Comput. Model.
, vol.52
, pp. 1288-1297
-
-
Galindo, J.1
Arnau, F.2
Tiseira, A.3
Piqueras, P.4
-
16
-
-
34548496557
-
-
VTT Information Technology, Finland
-
Hiirsalmi M., Kotsakis E., Pesonen A., Wolski A. Discovery of Fuzzy Models from Observation Data 2000, VTT Information Technology, Finland.
-
(2000)
Discovery of Fuzzy Models from Observation Data
-
-
Hiirsalmi, M.1
Kotsakis, E.2
Pesonen, A.3
Wolski, A.4
-
17
-
-
0003397084
-
-
McGraw Hill, New York
-
Holman J.P. Heat Transfer 2002, McGraw Hill, New York. ninth ed.
-
(2002)
Heat Transfer
-
-
Holman, J.P.1
-
18
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
Hornik K., Stinchcombe M., White H. Multilayer feedforward networks are universal approximators. Neural Netw. 1989, 2:359-366.
-
(1989)
Neural Netw.
, vol.2
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
19
-
-
63149150251
-
-
Asia Pacific Energy Research Center, Tokyo
-
Ibrahim H., Bin Yaman A.S., Thanh Lien T., Budi Santoso I., Laothumthut P. Natural Gas Pipeline Development in South East Asia 2000, Asia Pacific Energy Research Center, Tokyo.
-
(2000)
Natural Gas Pipeline Development in South East Asia
-
-
Ibrahim, H.1
Bin Yaman, A.S.2
Thanh Lien, T.3
Budi Santoso, I.4
Laothumthut, P.5
-
20
-
-
0027601884
-
ANFIS: adaptive-network-based fuzzy inference system
-
Jang J.-S. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cybernet. 1993, 23:665-685.
-
(1993)
IEEE Trans. Syst. Man Cybernet.
, vol.23
, pp. 665-685
-
-
Jang, J.-S.1
-
21
-
-
34548492249
-
Rule-based Mamdani-type fuzzy modeling of skin permeability
-
Keshwani D.R., Jones D.D., Meyer G.E., Brand R.M. Rule-based Mamdani-type fuzzy modeling of skin permeability. Appl. Soft Comput. 2008, 8:285-294.
-
(2008)
Appl. Soft Comput.
, vol.8
, pp. 285-294
-
-
Keshwani, D.R.1
Jones, D.D.2
Meyer, G.E.3
Brand, R.M.4
-
23
-
-
79951581465
-
Avariable speed wind generator maximum power tracking based on adaptative neuro-fuzzy inference system
-
Meharrar A., Tioursi M., Hatti M., Boudghène Stambouli A. Avariable speed wind generator maximum power tracking based on adaptative neuro-fuzzy inference system. Expert Syst. Appl. 2011, 38:7659-7664.
-
(2011)
Expert Syst. Appl.
, vol.38
, pp. 7659-7664
-
-
Meharrar, A.1
Tioursi, M.2
Hatti, M.3
Boudghène Stambouli, A.4
-
24
-
-
79952195568
-
Modeling of heat transfer and fluid flow characteristics of helicoidal double-pipe heat exchangers using adaptive neuro-fuzzy inference system (ANFIS)
-
Mehrabi M., Pesteei S., Pashaee G.T. Modeling of heat transfer and fluid flow characteristics of helicoidal double-pipe heat exchangers using adaptive neuro-fuzzy inference system (ANFIS). Int. Commun. Heat Mass Transfer 2011, 38:525-532.
-
(2011)
Int. Commun. Heat Mass Transfer
, vol.38
, pp. 525-532
-
-
Mehrabi, M.1
Pesteei, S.2
Pashaee, G.T.3
-
25
-
-
85122600198
-
-
Trafford on Demand Pub., Boca Raton
-
Menon S. Gas Pipeline Hydraulics 2005, Trafford on Demand Pub., Boca Raton. first ed.
-
(2005)
Gas Pipeline Hydraulics
-
-
Menon, S.1
-
26
-
-
18144388843
-
Tutorial on modeling of gas turbine driven centrifugal compressors
-
Odom F.M. Tutorial on modeling of gas turbine driven centrifugal compressors. PSIG Annual Meeting 1990.
-
(1990)
PSIG Annual Meeting
-
-
Odom, F.M.1
-
27
-
-
85058635928
-
Tutorial on modeling of gas turbine driven centrifugal compressors
-
Odom F.M., Muster G.L. Tutorial on modeling of gas turbine driven centrifugal compressors. PSIG Annual Meeting 2009.
-
(2009)
PSIG Annual Meeting
-
-
Odom, F.M.1
Muster, G.L.2
-
28
-
-
0142217238
-
Atransient outflow model for pipeline puncture
-
Oke A., Mahgerefteh H., Economou I., Rykov Y. Atransient outflow model for pipeline puncture. Chem. Eng. Sci. 2003, 58:4591-4604.
-
(2003)
Chem. Eng. Sci.
, vol.58
, pp. 4591-4604
-
-
Oke, A.1
Mahgerefteh, H.2
Economou, I.3
Rykov, Y.4
-
29
-
-
0025056697
-
Regularization algorithms for learning that are equivalent to multilayer networks
-
Poggio T., Girosi F. Regularization algorithms for learning that are equivalent to multilayer networks. Science 1990.
-
(1990)
Science
-
-
Poggio, T.1
Girosi, F.2
-
31
-
-
79960268642
-
Fuzzy modeling and simulation for lead removal using micellar-enhanced ultrafiltration (MEUF)
-
Rahmanian B., Pakizeh M., Esfandyari M., Heshmatnezhad F., Maskooki A. Fuzzy modeling and simulation for lead removal using micellar-enhanced ultrafiltration (MEUF). J.Hazard. Mater. 2011, 192:585-592.
-
(2011)
J.Hazard. Mater.
, vol.192
, pp. 585-592
-
-
Rahmanian, B.1
Pakizeh, M.2
Esfandyari, M.3
Heshmatnezhad, F.4
Maskooki, A.5
-
32
-
-
84862579180
-
Prediction of MEUF process performance using artificial neural networks and ANFIS approaches
-
Rahmanian B., Pakizeh M., Mansoori S.A.A., Esfandyari M., Jafari D., Maddah H., Maskooki A. Prediction of MEUF process performance using artificial neural networks and ANFIS approaches. J.Taiwan Inst. Chem. Engr. 2012, 43:558-565.
-
(2012)
J.Taiwan Inst. Chem. Engr.
, vol.43
, pp. 558-565
-
-
Rahmanian, B.1
Pakizeh, M.2
Mansoori, S.A.A.3
Esfandyari, M.4
Jafari, D.5
Maddah, H.6
Maskooki, A.7
-
33
-
-
1642326832
-
Performance evaluation of slow sand filters using fuzzy rule-based modelling
-
Sadiq R., Al-Zahrani M.A., Sheikh A.K., Husain T., Farooq S. Performance evaluation of slow sand filters using fuzzy rule-based modelling. Environ. Modell. Softw. 2004, 19:507-515.
-
(2004)
Environ. Modell. Softw.
, vol.19
, pp. 507-515
-
-
Sadiq, R.1
Al-Zahrani, M.A.2
Sheikh, A.K.3
Husain, T.4
Farooq, S.5
-
34
-
-
0004217602
-
-
Seader J., Siirola J., Barnicki S., Perry R., Green D., Maloney J. Perrys Chemical Engineers' Handbook 1997.
-
(1997)
Perrys Chemical Engineers' Handbook
-
-
Seader, J.1
Siirola, J.2
Barnicki, S.3
Perry, R.4
Green, D.5
Maloney, J.6
-
35
-
-
0003936876
-
-
Elsevier, (access Online via Elsevier)
-
Sengers J.V., Kayser R., Peters C., White H. Equations of State for Fluids and Fluid Mixtures 2000, Elsevier, (access Online via Elsevier). first ed.
-
(2000)
Equations of State for Fluids and Fluid Mixtures
-
-
Sengers, J.V.1
Kayser, R.2
Peters, C.3
White, H.4
-
36
-
-
84872350750
-
Prediction of temperature performance of a two-phase closed thermosyphon using artificial neural network
-
Shanbedi M., Jafari D., Amiri A., Heris S.Z., Baniadam M. Prediction of temperature performance of a two-phase closed thermosyphon using artificial neural network. Heat Mass Transfer 2013, 49:65-73.
-
(2013)
Heat Mass Transfer
, vol.49
, pp. 65-73
-
-
Shanbedi, M.1
Jafari, D.2
Amiri, A.3
Heris, S.Z.4
Baniadam, M.5
-
38
-
-
59649125893
-
Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter
-
Shoorehdeli M.A., Teshnehlab M., Sedigh A.K. Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter. Fuzzy Sets Syst. 2009, 160:922-948.
-
(2009)
Fuzzy Sets Syst.
, vol.160
, pp. 922-948
-
-
Shoorehdeli, M.A.1
Teshnehlab, M.2
Sedigh, A.K.3
-
40
-
-
77955377327
-
Total cost minimization of a high-pressure natural gas network
-
Tabkhi F., Pibouleau L., Azzaro-Pantel C., Domenech S. Total cost minimization of a high-pressure natural gas network. J.Energy Resour. Technol. 2009, 131:43001-43002.
-
(2009)
J.Energy Resour. Technol.
, vol.131
, pp. 43001-43002
-
-
Tabkhi, F.1
Pibouleau, L.2
Azzaro-Pantel, C.3
Domenech, S.4
-
41
-
-
0021892282
-
Fuzzy identification of systems and its applications to modeling and control
-
Takagi T., Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybernet. 1985, 116-132.
-
(1985)
IEEE Trans. Syst. Man Cybernet.
, pp. 116-132
-
-
Takagi, T.1
Sugeno, M.2
-
44
-
-
68749094967
-
Dynamic behaviour of non-isothermal compressible natural gases mixed with hydrogen in pipelines
-
Uilhoorn F. Dynamic behaviour of non-isothermal compressible natural gases mixed with hydrogen in pipelines. Int. J. Hydrogen Energy 2009, 34:6722-6729.
-
(2009)
Int. J. Hydrogen Energy
, vol.34
, pp. 6722-6729
-
-
Uilhoorn, F.1
-
48
-
-
0034002602
-
Model relaxations for the fuel cost minimization of steady-state gas pipeline networks
-
Wu S., Rios-Mercado R.Z., Boyd E.A., Scott L.R. Model relaxations for the fuel cost minimization of steady-state gas pipeline networks. Math. Comput. Model. 2000, 31:197-220.
-
(2000)
Math. Comput. Model.
, vol.31
, pp. 197-220
-
-
Wu, S.1
Rios-Mercado, R.Z.2
Boyd, E.A.3
Scott, L.R.4
-
49
-
-
79151474442
-
Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils
-
Yilmaz I., Kaynar O. Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils. Expert Syst. Appl. 2011, 38:5958-5966.
-
(2011)
Expert Syst. Appl.
, vol.38
, pp. 5958-5966
-
-
Yilmaz, I.1
Kaynar, O.2
-
50
-
-
34248666540
-
Fuzzy sets
-
Zadeh L.A. Fuzzy sets. Inform. Control 1965, 8:338-353.
-
(1965)
Inform. Control
, vol.8
, pp. 338-353
-
-
Zadeh, L.A.1
|