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Volumn 35, Issue , 2015, Pages 618-628

Gene expression programming to predict the discharge coefficient in rectangular side weirs

Author keywords

Discharge coefficient; Gene expression programming (GEP); Sensitivity analysis; Side weir

Indexed keywords

GENE EXPRESSION; GENES; HYDRAULIC STRUCTURES; MEAN SQUARE ERROR; SENSITIVITY ANALYSIS;

EID: 84937784552     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2015.07.003     Document Type: Article
Times cited : (122)

References (57)
  • 1
    • 0001616709 scopus 로고
    • Saggio di teoria del funzionamento degli stramazzi laterali
    • (in Italian)
    • G. De Marchi Saggio di teoria del funzionamento degli stramazzi laterali L'Energia electrica Milan 11 1934 849 860 (in Italian)
    • (1934) L'Energia Electrica Milan , vol.11 , pp. 849-860
    • De Marchi, G.1
  • 2
    • 0015281580 scopus 로고
    • Spatially varied flow over side weirs
    • K. Subramanya, and S.C. Awasthy Spatially varied flow over side weirs J. Hydraul. Div. 98 1972 1 10
    • (1972) J. Hydraul. Div. , vol.98 , pp. 1-10
    • Subramanya, K.1    Awasthy, S.C.2
  • 3
    • 8644267783 scopus 로고
    • Discussion of spatially varied flow over side weir
    • L. Yu-Tech Discussion of spatially varied flow over side weir J. Hydraul. Eng. 98 1972 2046 2048
    • (1972) J. Hydraul. Eng. , vol.98 , pp. 2046-2048
    • Yu-Tech, L.1
  • 4
    • 0002947932 scopus 로고
    • Discussion of spatially varied flow over side weir
    • T. Nandesamoorthy, and A. Thomson Discussion of spatially varied flow over side weir J. Hydraul. Div. 98 1972 2234 2235
    • (1972) J. Hydraul. Div. , vol.98 , pp. 2234-2235
    • Nandesamoorthy, T.1    Thomson, A.2
  • 7
    • 0023324548 scopus 로고
    • Lateral outflow over side weirs
    • W.H. Hager Lateral outflow over side weirs J. Hydraul. Eng. 113 1987 491 504
    • (1987) J. Hydraul. Eng. , vol.113 , pp. 491-504
    • Hager, W.H.1
  • 8
    • 0026191769 scopus 로고
    • Discharge coefficient of lateral diversion from trapezoidal channel
    • H. Cheong Discharge coefficient of lateral diversion from trapezoidal channel J. Irrig. Drain. Eng. 117 1991 461 475
    • (1991) J. Irrig. Drain. Eng. , vol.117 , pp. 461-475
    • Cheong, H.1
  • 11
    • 84995350672 scopus 로고    scopus 로고
    • Discussion of discharge coefficient of rectangular side weir, by R. Singh, D. Manivannan and T. Satyanarayana
    • M.R. Jalili, and S.M. Borghei Discussion of discharge coefficient of rectangular side weir, by R. Singh, D. Manivannan and T. Satyanarayana J. Irrig. Drain. Eng. 122 1996 132
    • (1996) J. Irrig. Drain. Eng. , vol.122 , pp. 132
    • Jalili, M.R.1    Borghei, S.M.2
  • 12
    • 0346145975 scopus 로고    scopus 로고
    • Elementary discharge coefficient for rectangular side weir
    • Tehran, Iran
    • M. Ghodsian Elementary discharge coefficient for rectangular side weir Proc. 4th Int. Conf. Civil Eng. Tehran, Iran 1997
    • (1997) Proc. 4th Int. Conf. Civil Eng.
    • Ghodsian, M.1
  • 13
    • 0033407434 scopus 로고    scopus 로고
    • Discharge coefficient for sharp crested side-weirs in subcritical flow
    • S. Borghei, M. Jalili, and M. Ghodsian Discharge coefficient for sharp crested side-weirs in subcritical flow J. Hydraul. Eng. 125 1999 1051 1056
    • (1999) J. Hydraul. Eng. , vol.125 , pp. 1051-1056
    • Borghei, S.1    Jalili, M.2    Ghodsian, M.3
  • 14
    • 42949091393 scopus 로고    scopus 로고
    • Supercritical flow over a rectangular side weir
    • M. Ghodsian Supercritical flow over a rectangular side weir Can. J. Civil. Eng. 30 2003 596 600
    • (2003) Can. J. Civil. Eng. , vol.30 , pp. 596-600
    • Ghodsian, M.1
  • 15
    • 6444243573 scopus 로고    scopus 로고
    • Effect of specific energy variation on lateral overflows
    • E. Yüksel Effect of specific energy variation on lateral overflows Flow Meas. Instrum. 15 2004 259 269
    • (2004) Flow Meas. Instrum. , vol.15 , pp. 259-269
    • Yüksel, E.1
  • 16
    • 56449086262 scopus 로고    scopus 로고
    • Development of a discharge equation for side weirs using artificial neural networks
    • M. Khorchani, and O. Blanpain Development of a discharge equation for side weirs using artificial neural networks J. Hydroinform. 7 2005 31 39
    • (2005) J. Hydroinform. , vol.7 , pp. 31-39
    • Khorchani, M.1    Blanpain, O.2
  • 17
    • 33748783636 scopus 로고    scopus 로고
    • Nonlinear PLS method for side weir flows
    • A.S. Ramamurthy, J. Qu, and D. Vo Nonlinear PLS method for side weir flows J. Irrig. Drain. Eng. 132 2006 486 489
    • (2006) J. Irrig. Drain. Eng. , vol.132 , pp. 486-489
    • Ramamurthy, A.S.1    Qu, J.2    Vo, D.3
  • 19
    • 56449092704 scopus 로고    scopus 로고
    • Method of solution of no uniform flow with the presence of rectangular side weir
    • M. Venutelli Method of solution of no uniform flow with the presence of rectangular side weir J. Irrig. Drain. Eng. 134 2008 840 846
    • (2008) J. Irrig. Drain. Eng. , vol.134 , pp. 840-846
    • Venutelli, M.1
  • 20
    • 70549103119 scopus 로고    scopus 로고
    • Discussion of method of solution of non-uniform flow with the presence of rectangular side weir
    • A.R. Vatankhah, and M. Bijankhan Discussion of method of solution of non-uniform flow with the presence of rectangular side weir J. Irrig. Drain. Eng. 135 2009 812 814
    • (2009) J. Irrig. Drain. Eng. , vol.135 , pp. 812-814
    • Vatankhah, A.R.1    Bijankhan, M.2
  • 21
    • 70449524306 scopus 로고    scopus 로고
    • Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique
    • M.E. Emiroglu, O. Kisi, and O. Bilhan Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique Adv. Eng. Softw. 41 2010 154 160
    • (2010) Adv. Eng. Softw. , vol.41 , pp. 154-160
    • Emiroglu, M.E.1    Kisi, O.2    Bilhan, O.3
  • 22
    • 79957845100 scopus 로고    scopus 로고
    • Discharging capacity of rectangular side weirs in straight open channels
    • M.E. Emiroglu, H. Agaccioglu, and N. Kaya Discharging capacity of rectangular side weirs in straight open channels Flow Meas. Instrum. 22 2011 319 330
    • (2011) Flow Meas. Instrum. , vol.22 , pp. 319-330
    • Emiroglu, M.E.1    Agaccioglu, H.2    Kaya, N.3
  • 23
    • 84881218552 scopus 로고    scopus 로고
    • Subcritical side-weir flow at high lateral discharge
    • O. Castro-Orgaz, and W.H. Hager Subcritical side-weir flow at high lateral discharge J. Hydraul. Eng. 138 2012 777 787
    • (2012) J. Hydraul. Eng. , vol.138 , pp. 777-787
    • Castro-Orgaz, O.1    Hager, W.H.2
  • 24
    • 84893798873 scopus 로고    scopus 로고
    • Discharge coefficient of rectangular sharp-crested side weirs. Part II: Dominguez's method
    • S. Bagheri, A.R. Kabiri-Samani, and H. Heidarpour Discharge coefficient of rectangular sharp-crested side weirs. Part II: Dominguez's method Flow Meas. Instrum. 35 2013 116 121
    • (2013) Flow Meas. Instrum. , vol.35 , pp. 116-121
    • Bagheri, S.1    Kabiri-Samani, A.R.2    Heidarpour, H.3
  • 25
    • 84937796064 scopus 로고    scopus 로고
    • Discharge characteristics of a trapezoidal labyrinth side weir with one and two cycles in subcritical flow
    • M.E. Emiroglu, M.C. Aydin, and N. Kaya Discharge characteristics of a trapezoidal labyrinth side weir with one and two cycles in subcritical flow J. Irrig. Drain. Eng. 140 2014 1 13
    • (2014) J. Irrig. Drain. Eng. , vol.140 , pp. 1-13
    • Emiroglu, M.E.1    Aydin, M.C.2    Kaya, N.3
  • 26
    • 80052326951 scopus 로고    scopus 로고
    • Numerical analysis and prediction of the velocity field in curved open channel using Artificial Neural Network and Genetic Algorithm
    • H. Bonakdari, S. Baghalian, F. Nazari, and M. Fazli Numerical analysis and prediction of the velocity field in curved open channel using Artificial Neural Network and Genetic Algorithm Eng. Appl. Comput. Fluid Mech. 5 2011 384 396
    • (2011) Eng. Appl. Comput. Fluid Mech. , vol.5 , pp. 384-396
    • Bonakdari, H.1    Baghalian, S.2    Nazari, F.3    Fazli, M.4
  • 27
    • 84872049145 scopus 로고    scopus 로고
    • Closed-form solution for flow field in curved channels in comparison with experimental and numerical analyses and Artificial Neural Network
    • S. Baghalian, H. Bonakdari, F. Nazari, and M. Fazli Closed-form solution for flow field in curved channels in comparison with experimental and numerical analyses and Artificial Neural Network Eng. Appl. Comput. Fluid Mech. 6 2012 514 526
    • (2012) Eng. Appl. Comput. Fluid Mech. , vol.6 , pp. 514-526
    • Baghalian, S.1    Bonakdari, H.2    Nazari, F.3    Fazli, M.4
  • 29
    • 84855985774 scopus 로고    scopus 로고
    • ANFIS-based approach for predicting sediment transport in clean sewer
    • H.M. Azamathulla, A.A. Ghani, and S.Y. Fei ANFIS-based approach for predicting sediment transport in clean sewer Appl. Soft Comput. 12 2012 1227 1230
    • (2012) Appl. Soft Comput. , vol.12 , pp. 1227-1230
    • Azamathulla, H.M.1    Ghani, A.A.2    Fei, S.Y.3
  • 30
    • 84882314134 scopus 로고    scopus 로고
    • Evaluation of sediment transport in sewer using artificial neural network
    • I. Ebtehaj, and H. Bonakdari Evaluation of sediment transport in sewer using artificial neural network Eng. Appl. Comput. Fluid Mech. 7 2013 382 392
    • (2013) Eng. Appl. Comput. Fluid Mech. , vol.7 , pp. 382-392
    • Ebtehaj, I.1    Bonakdari, H.2
  • 31
    • 23044459648 scopus 로고    scopus 로고
    • Suspended sediment estimation using neuro-fuzzy and neural network approaches
    • O. Kisi Suspended sediment estimation using neuro-fuzzy and neural network approaches Hydrol. Sci. J. 50 2005 683 696
    • (2005) Hydrol. Sci. J. , vol.50 , pp. 683-696
    • Kisi, O.1
  • 32
    • 71349088571 scopus 로고    scopus 로고
    • The practical research on flood forecasting based on artificial neural networks
    • L.H. Feng, and J. Lu The practical research on flood forecasting based on artificial neural networks Expert Syst. Appl. 37 2010 2974 2977
    • (2010) Expert Syst. Appl. , vol.37 , pp. 2974-2977
    • Feng, L.H.1    Lu, J.2
  • 34
    • 77951205244 scopus 로고    scopus 로고
    • Application of two different neural network techniques to lateral outflow over rectangular side weirs located on a straight channel
    • O. Bilhan, M.E. Emiroglu, and O. Kisi Application of two different neural network techniques to lateral outflow over rectangular side weirs located on a straight channel Adv. Eng. Softw. 41 2010 831 837
    • (2010) Adv. Eng. Softw. , vol.41 , pp. 831-837
    • Bilhan, O.1    Emiroglu, M.E.2    Kisi, O.3
  • 35
    • 77956618089 scopus 로고    scopus 로고
    • Neural networks for estimation of discharge capacity of triangular labyrinth side-weir located on a straight channel
    • M.E. Emiroglu, O. Bilhan, and O. Kisi Neural networks for estimation of discharge capacity of triangular labyrinth side-weir located on a straight channel Expert Syst. Appl. 38 2011 867 874
    • (2011) Expert Syst. Appl. , vol.38 , pp. 867-874
    • Emiroglu, M.E.1    Bilhan, O.2    Kisi, O.3
  • 36
    • 80255131241 scopus 로고    scopus 로고
    • Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approaches
    • O. Kisi, M.E. Emiroglu, O. Bilhan, and A. Guven Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approaches Expert Syst. Appl. 39 2012 3454 3460
    • (2012) Expert Syst. Appl. , vol.39 , pp. 3454-3460
    • Kisi, O.1    Emiroglu, M.E.2    Bilhan, O.3    Guven, A.4
  • 37
    • 84857190718 scopus 로고    scopus 로고
    • Estimating discharge coefficient of semi-elliptical side weir using ANFIS
    • O.F. Dursun, N. Kaya, and M. Firat Estimating discharge coefficient of semi-elliptical side weir using ANFIS J. Hydrol. 426/427 2012 55 62
    • (2012) J. Hydrol. , vol.426-427 , pp. 55-62
    • Dursun, O.F.1    Kaya, N.2    Firat, M.3
  • 38
    • 77649233585 scopus 로고    scopus 로고
    • A GEP-based spatial decision support system for multisite land use allocation
    • K. Eldrandaly A GEP-based spatial decision support system for multisite land use allocation Appl. Soft Comput. 10 2010 694 702
    • (2010) Appl. Soft Comput. , vol.10 , pp. 694-702
    • Eldrandaly, K.1
  • 39
    • 82355183599 scopus 로고    scopus 로고
    • Gene-expression programming for sediment transport in sewer pipe systems
    • A.A. Ghani, and H. Md. Azamathulla Gene-expression programming for sediment transport in sewer pipe systems J. Pipeline Syst. Eng. Pract. 2 2010 102 106
    • (2010) J. Pipeline Syst. Eng. Pract. , vol.2 , pp. 102-106
    • Ghani, A.A.1    Md. Azamathulla, H.2
  • 41
    • 80051665368 scopus 로고    scopus 로고
    • Gene-expression programming for the development of a stage-discharge curve of the Pahang River
    • H.Md. Azamathulla, A.A. Ghani, C.S. Leow, C.K. Chang, and N.A. Zakaria Gene-expression programming for the development of a stage-discharge curve of the Pahang River Water Resour. Manag. 25 2011 2901 2916
    • (2011) Water Resour. Manag. , vol.25 , pp. 2901-2916
    • Azamathulla, H.Md.1    Ghani, A.A.2    Leow, C.S.3    Chang, C.K.4    Zakaria, N.A.5
  • 42
    • 84870251618 scopus 로고    scopus 로고
    • Soft computing approach to fault diagnosis of centrifugal pump
    • N.R. Sakthivel, B.B. Nair, and V. Sugumaran Soft computing approach to fault diagnosis of centrifugal pump Appl. Soft Comput. 12 2012 1574 1581
    • (2012) Appl. Soft Comput. , vol.12 , pp. 1574-1581
    • Sakthivel, N.R.1    Nair, B.B.2    Sugumaran, V.3
  • 43
    • 58549098035 scopus 로고    scopus 로고
    • A novel method for real parameter optimization based on Gene Expression Programming
    • K. Xu, Y. Liu, R. Tang, J. Zuo, J. Zhu, and C. Tang A novel method for real parameter optimization based on Gene Expression Programming Appl. Soft Comput. 9 2009 725 737
    • (2009) Appl. Soft Comput. , vol.9 , pp. 725-737
    • Xu, K.1    Liu, Y.2    Tang, R.3    Zuo, J.4    Zhu, J.5    Tang, C.6
  • 44
    • 84899030449 scopus 로고    scopus 로고
    • Comparative analysis of statistical and machine learning methods for predicting faulty modules
    • R.R. Malhotra Comparative analysis of statistical and machine learning methods for predicting faulty modules Appl. Soft Comput. 21 2014 286 297
    • (2014) Appl. Soft Comput. , vol.21 , pp. 286-297
    • Malhotra, R.R.1
  • 45
    • 10644274066 scopus 로고    scopus 로고
    • Gene expression programming in problem solving
    • R. Roy, M. Kuppen, S. Ovaska, T. Furuhashi, F. Hoffmann, Springer-Verlag
    • C. Ferreira Gene expression programming in problem solving R. Roy, M. Kuppen, S. Ovaska, T. Furuhashi, F. Hoffmann, Soft Computing and Industry: Recent Applications 2002 Springer-Verlag
    • (2002) Soft Computing and Industry: Recent Applications
    • Ferreira, C.1
  • 47
    • 0347499408 scopus 로고    scopus 로고
    • Gene expression programming: A new adaptive algorithm for solving problems
    • C. Ferreira Gene expression programming: a new adaptive algorithm for solving problems Complex Syst. 13 2001 87 129
    • (2001) Complex Syst. , vol.13 , pp. 87-129
    • Ferreira, C.1
  • 49
    • 37649016085 scopus 로고    scopus 로고
    • Study of flow over side weirs under subcritical conditions
    • K.H.V. Durga Rao, and C.R.S. Pillai Study of flow over side weirs under subcritical conditions Water Resour. Manag. 22 2008 131 143
    • (2008) Water Resour. Manag. , vol.22 , pp. 131-143
    • Durga Rao, K.H.V.1    Pillai, C.R.S.2
  • 50
    • 0029413797 scopus 로고
    • Artificial neural network modeling of the rainfall-runoff process
    • K. Hsu, V.H. Gupta, and S. Sorroshian Artificial neural network modeling of the rainfall-runoff process Water Resour. Res. 31 1995 2517 2530
    • (1995) Water Resour. Res. , vol.31 , pp. 2517-2530
    • Hsu, K.1    Gupta, V.H.2    Sorroshian, S.3
  • 51
    • 0035494446 scopus 로고    scopus 로고
    • Short-term water demand forecast modeling at IIT Kanpur using artificial neural networks
    • A. Jain, A.K. Varshney, and U.C. Joshi Short-term water demand forecast modeling at IIT Kanpur using artificial neural networks Water Resour. Manag. 15 2001 299 321
    • (2001) Water Resour. Manag. , vol.15 , pp. 299-321
    • Jain, A.1    Varshney, A.K.2    Joshi, U.C.3
  • 52
    • 0036640826 scopus 로고    scopus 로고
    • Evaluation of short-term water demand forecast modeling techniques: Conventional methods versus AI
    • A. Jain, and L.E. Ormsbee Evaluation of short-term water demand forecast modeling techniques: conventional methods versus AI J. Am. Water Works Assoc. 94 2002 64 72
    • (2002) J. Am. Water Works Assoc. , vol.94 , pp. 64-72
    • Jain, A.1    Ormsbee, L.E.2
  • 53
    • 0347135926 scopus 로고    scopus 로고
    • Modeling of the daily rainfall-runoff relationship with artificial neural network
    • M.P. Rajurkar, U.C. Kothyarib, and U.C. Chaube Modeling of the daily rainfall-runoff relationship with artificial neural network J. Hydrol. 285 2004 96 113
    • (2004) J. Hydrol. , vol.285 , pp. 96-113
    • Rajurkar, M.P.1    Kothyarib, U.C.2    Chaube, U.C.3
  • 54
    • 60249093012 scopus 로고    scopus 로고
    • Using non-dimensional velocity curves for estimation of longitudinal dispersion coefficient
    • Ahwaz, Iran
    • M.F. Maghrebi, and M. Givehchi Using non-dimensional velocity curves for estimation of longitudinal dispersion coefficient Proc. 7th Int. Symp. River Eng. Ahwaz, Iran 2007
    • (2007) Proc. 7th Int. Symp. River Eng.
    • Maghrebi, M.F.1    Givehchi, M.2
  • 55
    • 0029663621 scopus 로고    scopus 로고
    • The use of artificial neural networks for the prediction of water quality parameters
    • H.R. Maier, and G.C. Dandy The use of artificial neural networks for the prediction of water quality parameters Water Resour. Res. 32 1996 1013 1022
    • (1996) Water Resour. Res. , vol.32 , pp. 1013-1022
    • Maier, H.R.1    Dandy, G.C.2
  • 56
    • 33845872549 scopus 로고    scopus 로고
    • River suspended sediment modeling using a fuzzy logic approach
    • O. Kisi, M.E. Karahan, and Z. Sen River suspended sediment modeling using a fuzzy logic approach Hydrol. Process. 20 2006 4351 4362
    • (2006) Hydrol. Process. , vol.20 , pp. 4351-4362
    • Kisi, O.1    Karahan, M.E.2    Sen, Z.3
  • 57
    • 60249095062 scopus 로고    scopus 로고
    • A fuzzy dynamic wave routing model
    • R.P. Gopakumar, and P. Mujumdar A fuzzy dynamic wave routing model Hydrol. Recess. 21 2007 458 467
    • (2007) Hydrol. Recess. , vol.21 , pp. 458-467
    • Gopakumar, R.P.1    Mujumdar, P.2


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