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Volumn 116, Issue , 2018, Pages 473-482

Development of more accurate discharge coefficient prediction equations for rectangular side weirs using adaptive neuro-fuzzy inference system and generalized group method of data handling

Author keywords

ANFIS; Discharge; GMDH; Measurement; Prediction; Side weir

Indexed keywords

DATA HANDLING; DISCHARGE (FLUID MECHANICS); EXPERIMENTAL REACTORS; FORECASTING; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GENETIC ALGORITHMS; HYDRAULIC MACHINERY; HYDRAULIC STRUCTURES; INFERENCE ENGINES; LEARNING SYSTEMS; MEASUREMENTS; MEMBERSHIP FUNCTIONS; SENSITIVITY ANALYSIS; SINGULAR VALUE DECOMPOSITION; UNCERTAINTY ANALYSIS; WEIRS;

EID: 85034843355     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2017.11.023     Document Type: Article
Times cited : (68)

References (44)
  • 1
    • 84941629389 scopus 로고    scopus 로고
    • Laboratory Study on 3D Flow Structures Induced by Zero-Height Side Weir and Implications for 1D Modeling
    • Michelazzo, G., Oumeraci, H., Paris, E., Laboratory Study on 3D Flow Structures Induced by Zero-Height Side Weir and Implications for 1D Modeling. J. Hydraul. En., 141, 2015, 04015023.
    • (2015) J. Hydraul. En. , vol.141 , pp. 04015023
    • Michelazzo, G.1    Oumeraci, H.2    Paris, E.3
  • 2
    • 0015281580 scopus 로고
    • Spatially varied flow over side weirs
    • Subramanya, K., Awasthy, S.C., Spatially varied flow over side weirs. J. Hydraul. Eng. 98 (1972), 1–10.
    • (1972) J. Hydraul. Eng. , vol.98 , pp. 1-10
    • Subramanya, K.1    Awasthy, S.C.2
  • 4
    • 0026191769 scopus 로고
    • Discharge coefficient of lateral diversion from trapezoidal channel
    • Cheong, H.F., 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.F.1
  • 5
    • 0016993270 scopus 로고
    • Experimental investigation of flow over side weirs
    • El-Khashab, A., Smith, K.V.H., Experimental investigation of flow over side weirs. J. Hydraul. Eng. 102 (1976), 1255–1268.
    • (1976) J. Hydraul. Eng. , vol.102 , pp. 1255-1268
    • El-Khashab, A.1    Smith, K.V.H.2
  • 7
    • 84995350672 scopus 로고    scopus 로고
    • Discussion of ‘Discharge coefficient of rectangular side weir, by ‘R. Singh, D. Manivannan and T. Satyanarayana’
    • 132–132
    • Jalili, M.R., Borghei, S.M., Discussion of ‘Discharge coefficient of rectangular side weir, by ‘R. Singh, D. Manivannan and T. Satyanarayana’. J. Irrig. Drain. Eng., 122, 1996 132–132.
    • (1996) J. Irrig. Drain. Eng. , vol.122
    • Jalili, M.R.1    Borghei, S.M.2
  • 8
    • 79957845100 scopus 로고    scopus 로고
    • Discharging capacity of rectangular side weirs in straight open channels
    • Emiroglu, M.E., Agaccioglu, H., Kaya, N., 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
  • 9
    • 85019472830 scopus 로고    scopus 로고
    • A new simulation-based genetic algorithm to efficiency measure in IDEA with weight restrictions
    • Ebrahimi, B., Rahmani, M., Ghodsypour, S.H., A new simulation-based genetic algorithm to efficiency measure in IDEA with weight restrictions. Measurement 108 (2017), 26–33.
    • (2017) Measurement , vol.108 , pp. 26-33
    • Ebrahimi, B.1    Rahmani, M.2    Ghodsypour, S.H.3
  • 10
    • 84944145254 scopus 로고    scopus 로고
    • Fuzzy logic speed controller optimization approach for induction motor drive using backtracking search algorithm
    • Ali, J.A., Hannan, M.A., Mohamed, A., Abdolrasol, M.G., Fuzzy logic speed controller optimization approach for induction motor drive using backtracking search algorithm. Measurement 78 (2016), 49–62.
    • (2016) Measurement , vol.78 , pp. 49-62
    • Ali, J.A.1    Hannan, M.A.2    Mohamed, A.3    Abdolrasol, M.G.4
  • 11
    • 84930197068 scopus 로고    scopus 로고
    • Sensitivity analysis of the discharge coefficient of a modified triangular side weir by adaptive neuro-fuzzy methodology
    • Bonakdari, H., Zaji, A.H., Shamshirband, S., Hashim, R., Petkovic, D., Sensitivity analysis of the discharge coefficient of a modified triangular side weir by adaptive neuro-fuzzy methodology. Measurement 73 (2015), 74–81.
    • (2015) Measurement , vol.73 , pp. 74-81
    • Bonakdari, H.1    Zaji, A.H.2    Shamshirband, S.3    Hashim, R.4    Petkovic, D.5
  • 12
    • 84906664118 scopus 로고    scopus 로고
    • Verification of equation for non-deposition sediment transport in flood water canals,
    • 7th International Conference on Fluvial Hydraulics, RIVER FLOW 2014; Lausanne; Switzerland; 3-5 September,.
    • H. Bonakdari, I. Ebtehaj, Verification of equation for non-deposition sediment transport in flood water canals, in: 7th International Conference on Fluvial Hydraulics, RIVER FLOW 2014; Lausanne; Switzerland; 3-5 September, 2014, pp. 1527–1533.
    • (2014) , pp. 1527-1533
    • Bonakdari, H.1    Ebtehaj, I.2
  • 13
    • 84983064890 scopus 로고    scopus 로고
    • Prediction of organic micropollutant removal in soil aquifer treatment system using GEP
    • Sattar, A.M., Prediction of organic micropollutant removal in soil aquifer treatment system using GEP. J. Hydrolog. Eng., 21, 2016, 04016027.
    • (2016) J. Hydrolog. Eng. , vol.21 , pp. 04016027
    • Sattar, A.M.1
  • 14
    • 85014349382 scopus 로고    scopus 로고
    • A highly efficient gene expression programming model for predicting the discharge coefficient in a side weir along a trapezoidal canal
    • Azimi, H., Bonakdari, H., Ebtehaj, I., A highly efficient gene expression programming model for predicting the discharge coefficient in a side weir along a trapezoidal canal. Irrig. Drain., 2017, 10.1002/ird.2127.
    • (2017) Irrig. Drain.
    • Azimi, H.1    Bonakdari, H.2    Ebtehaj, I.3
  • 15
    • 85012839070 scopus 로고    scopus 로고
    • Predictive modeling the side weir discharge coefficient using neural network
    • Parsaie, A., Predictive modeling the side weir discharge coefficient using neural network. Model. Earth Syst. Environ., 2, 2016, 63.
    • (2016) Model. Earth Syst. Environ. , vol.2 , pp. 63
    • Parsaie, A.1
  • 16
    • 85034865741 scopus 로고    scopus 로고
    • Assessment of some famous empirical equation and artificial intelligent model (MLP, ANFIS) to predicting the side weir discharge coefficient
    • Parsaie, A., Haghiabi, A.H., Assessment of some famous empirical equation and artificial intelligent model (MLP, ANFIS) to predicting the side weir discharge coefficient. J. Appl. Res. Water and Wastewater. 1 (2014), 75–79.
    • (2014) J. Appl. Res. Water and Wastewater. , vol.1 , pp. 75-79
    • Parsaie, A.1    Haghiabi, A.H.2
  • 17
    • 84925507932 scopus 로고    scopus 로고
    • The effect of predicting discharge coefficient by neural network on increasing the numerical modeling accuracy of flow over side weir
    • Parsaie, A., Haghiabi, A.H., The effect of predicting discharge coefficient by neural network on increasing the numerical modeling accuracy of flow over side weir. Water Resour. Manage. 29 (2015), 973–985.
    • (2015) Water Resour. Manage. , vol.29 , pp. 973-985
    • Parsaie, A.1    Haghiabi, A.H.2
  • 18
    • 85032074160 scopus 로고    scopus 로고
    • Prediction of discharge coefficient of side weir using adaptive neuro-fuzzy inference system
    • Parsaie, A., Haghiabi, A.H., Prediction of discharge coefficient of side weir using adaptive neuro-fuzzy inference system. Sustain. Water Resour. Manage. 2 (2016), 257–264.
    • (2016) Sustain. Water Resour. Manage. , vol.2 , pp. 257-264
    • Parsaie, A.1    Haghiabi, A.H.2
  • 20
    • 84983551919 scopus 로고    scopus 로고
    • Prediction of side weir discharge coefficient by support vector machine technique
    • Azamathulla, H.M., Haghiabi, A.H., Parsaie, A., Prediction of side weir discharge coefficient by support vector machine technique. Water Sci. Technol. Water Supply. 16 (2016), 1002–1016.
    • (2016) Water Sci. Technol. Water Supply. , vol.16 , pp. 1002-1016
    • Azamathulla, H.M.1    Haghiabi, A.H.2    Parsaie, A.3
  • 21
    • 84888325821 scopus 로고    scopus 로고
    • Group method of data handling to predict scour depth around vertical piles under regular waves
    • Najafzadeh, M., Barani, G.A., Hessami-Kermani, M.R., Group method of data handling to predict scour depth around vertical piles under regular waves. Sci. Iran. 20 (2013), 406–413.
    • (2013) Sci. Iran. , vol.20 , pp. 406-413
    • Najafzadeh, M.1    Barani, G.A.2    Hessami-Kermani, M.R.3
  • 22
    • 84948144819 scopus 로고    scopus 로고
    • A combined support vector machine-wavelet transform model for prediction of sediment transport in sewer
    • Ebtehaj, I., Bonakdari, H., Shamshirband, S., Mohammadi, K., A combined support vector machine-wavelet transform model for prediction of sediment transport in sewer. Flow Meas. Instrum. 47 (2016), 19–27.
    • (2016) Flow Meas. Instrum. , vol.47 , pp. 19-27
    • Ebtehaj, I.1    Bonakdari, H.2    Shamshirband, S.3    Mohammadi, K.4
  • 23
    • 84982282524 scopus 로고    scopus 로고
    • A combined adaptive neuro-fuzzy inference system–firefly algorithm model for predicting the roller length of a hydraulic jump on a rough channel bed
    • Azimi, H., Bonakdari, H., Ebtehaj, I., Michelson, D.G., A combined adaptive neuro-fuzzy inference system–firefly algorithm model for predicting the roller length of a hydraulic jump on a rough channel bed. Neural Comput. Appl., 2016, 10.1007/s00521-016-2560-9.
    • (2016) Neural Comput. Appl.
    • Azimi, H.1    Bonakdari, H.2    Ebtehaj, I.3    Michelson, D.G.4
  • 24
    • 85013335898 scopus 로고    scopus 로고
    • Multi-objective optimization of multi-axis ball-end milling Inconel 718 via grey relational analysis coupled with RBF neural network and PSO algorithm
    • Zhou, J., Ren, J., Yao, C., Multi-objective optimization of multi-axis ball-end milling Inconel 718 via grey relational analysis coupled with RBF neural network and PSO algorithm. Measurement 102 (2017), 271–285.
    • (2017) Measurement , vol.102 , pp. 271-285
    • Zhou, J.1    Ren, J.2    Yao, C.3
  • 25
    • 84942899485 scopus 로고    scopus 로고
    • Multi-objective optimization in drilling of CFRP (polyester) composites: application of a fuzzy embedded harmony search (HS) algorithm
    • Abhishek, K., Datta, S., Mahapatra, S.S., Multi-objective optimization in drilling of CFRP (polyester) composites: application of a fuzzy embedded harmony search (HS) algorithm. Measurement 77 (2016), 222–239.
    • (2016) Measurement , vol.77 , pp. 222-239
    • Abhishek, K.1    Datta, S.2    Mahapatra, S.S.3
  • 26
    • 85012066491 scopus 로고    scopus 로고
    • Developing an expert group method of data handling system for predicting the geometry of a stable channel with a gravel bed: New model for predicting stable channel geometry with a gravel bed
    • Gholami, A., Bonakdari, H., Ebtehaj, I., Shaghaghi, S., Khoshbin, F., Developing an expert group method of data handling system for predicting the geometry of a stable channel with a gravel bed: New model for predicting stable channel geometry with a gravel bed. Earth Surf. Proc. Land., 2016, 10.1002/esp.4104.
    • (2016) Earth Surf. Proc. Land.
    • Gholami, A.1    Bonakdari, H.2    Ebtehaj, I.3    Shaghaghi, S.4    Khoshbin, F.5
  • 27
    • 85020943803 scopus 로고    scopus 로고
    • Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design
    • Shaghaghi, S., Bonakdari, H., Gholami, A., Ebtehaj, I., Zeinolabedini, M., Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design. Appl. Math. Comput. 313 (2017), 271–286.
    • (2017) Appl. Math. Comput. , vol.313 , pp. 271-286
    • Shaghaghi, S.1    Bonakdari, H.2    Gholami, A.3    Ebtehaj, I.4    Zeinolabedini, M.5
  • 28
    • 84964553128 scopus 로고    scopus 로고
    • Predicting trapezoidal and rectangular side weirs discharge coefficient using machine learning methods
    • Roushangar, K., Khoshkanar, R., Shiri, J., Predicting trapezoidal and rectangular side weirs discharge coefficient using machine learning methods. ISH J. Hydraul. Eng. 22 (2016), 254–261.
    • (2016) ISH J. Hydraul. Eng. , vol.22 , pp. 254-261
    • Roushangar, K.1    Khoshkanar, R.2    Shiri, J.3
  • 29
    • 84939161761 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in rectangular sharp-crested side weirs
    • Khoshbin, F., Bonakdari, H., Ashraf Talesh, S.H., Ebtehaj, I., Zaji, A.H., Azimi, H., Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in rectangular sharp-crested side weirs. Eng. Optimiz. 48 (2016), 933–948.
    • (2016) Eng. Optimiz. , vol.48 , pp. 933-948
    • Khoshbin, F.1    Bonakdari, H.2    Ashraf Talesh, S.H.3    Ebtehaj, I.4    Zaji, A.H.5    Azimi, H.6
  • 30
    • 85030611960 scopus 로고    scopus 로고
    • Prediction of side weir discharge coefficient by genetic programming technique
    • Parsaie, A., Haghiabi, A.H., Prediction of side weir discharge coefficient by genetic programming technique. Jordan J. Civil Eng. 11 (2017), 132–141.
    • (2017) Jordan J. Civil Eng. , vol.11 , pp. 132-141
    • Parsaie, A.1    Haghiabi, A.H.2
  • 31
    • 84937784552 scopus 로고    scopus 로고
    • Gene expression programming to predict the discharge coefficient in rectangular side weirs
    • Ebtehaj, I., Bonakdari, H., Zaji, A.H., Azimi, H., Sharifi, A., Gene expression programming to predict the discharge coefficient in rectangular side weirs. Appl. Soft Comput. 3 (2015), 618–628.
    • (2015) Appl. Soft Comput. , vol.3 , pp. 618-628
    • Ebtehaj, I.1    Bonakdari, H.2    Zaji, A.H.3    Azimi, H.4    Sharifi, A.5
  • 32
    • 84953310271 scopus 로고    scopus 로고
    • Evaluation of neuro-fuzzy GMDH-based particle swarm optimization to predict longitudinal dispersion coefficient in rivers
    • Najafzadeh, M., Tafarojnoruz, A., Evaluation of neuro-fuzzy GMDH-based particle swarm optimization to predict longitudinal dispersion coefficient in rivers. Environ. Earth Sci., 75, 2016, 157.
    • (2016) Environ. Earth Sci. , vol.75 , pp. 157
    • Najafzadeh, M.1    Tafarojnoruz, A.2
  • 33
    • 85017342627 scopus 로고    scopus 로고
    • GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs
    • Ebtehaj, I., Bonakdari, H., Zaji, A.H., Azimi, H., Khoshbin, F., GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs. Eng. Sci. Technol. Int. J. 18 (2015), 746–757.
    • (2015) Eng. Sci. Technol. Int. J. , vol.18 , pp. 746-757
    • Ebtehaj, I.1    Bonakdari, H.2    Zaji, A.H.3    Azimi, H.4    Khoshbin, F.5
  • 34
    • 84893798873 scopus 로고    scopus 로고
    • Discharge coefficient of rectangular sharp-crested side weirs Part II: Domínguez's method
    • Bagheri, S., Kabiri-Samani, A.R., Heidarpour, H., Discharge coefficient of rectangular sharp-crested side weirs Part II: Domínguez's method. Flow Meas. Instrum. 35 (2014), 116–121.
    • (2014) Flow Meas. Instrum. , vol.35 , pp. 116-121
    • Bagheri, S.1    Kabiri-Samani, A.R.2    Heidarpour, H.3
  • 36
    • 0023324548 scopus 로고
    • Lateral outflow over side weirs
    • Hager, W.H., 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
  • 37
    • 8644267783 scopus 로고
    • Discussion of spatially varied flow over side weir
    • Yu-Tech, L., Discussion of spatially varied flow over side weir. J. Hydraul. Div. 98 (1972), 2046–2048.
    • (1972) J. Hydraul. Div. , vol.98 , pp. 2046-2048
    • Yu-Tech, L.1
  • 38
    • 0033407434 scopus 로고    scopus 로고
    • Discharge coefficient for sharp-crested side weir in subcritical flow
    • Borghei, S., Jalili, M., Ghodsian, M., Discharge coefficient for sharp-crested side weir 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
  • 39
    • 85016749474 scopus 로고    scopus 로고
    • Prediction of scour depth around bridge piers using self-adaptive extreme learning machine
    • Ebtehaj, I., Sattar, A.M., Bonakdari, H., Zaji, A.H., Prediction of scour depth around bridge piers using self-adaptive extreme learning machine. J. Hydroinform. 19 (2016), 207–224.
    • (2016) J. Hydroinform. , vol.19 , pp. 207-224
    • Ebtehaj, I.1    Sattar, A.M.2    Bonakdari, H.3    Zaji, A.H.4
  • 40
    • 85019593777 scopus 로고    scopus 로고
    • Urban Stormwater Thermal Gene Expression Models for Protection of Sensitive Receiving Streams
    • Sattar, A.M., Gharabaghi, B., Sabouri, F., Thompson, A.M., Urban Stormwater Thermal Gene Expression Models for Protection of Sensitive Receiving Streams. Hydrol Process. 31 (2017), 2330–2348.
    • (2017) Hydrol Process. , vol.31 , pp. 2330-2348
    • Sattar, A.M.1    Gharabaghi, B.2    Sabouri, F.3    Thompson, A.M.4
  • 41
    • 84994651165 scopus 로고    scopus 로고
    • Highway runoff quality models for the protection of environmentally sensitive areas
    • Trenouth, W.R., Gharabaghi, B., Highway runoff quality models for the protection of environmentally sensitive areas. J Hydrol. 542 (2016), 143–155.
    • (2016) J Hydrol. , vol.542 , pp. 143-155
    • Trenouth, W.R.1    Gharabaghi, B.2
  • 42
    • 84975882612 scopus 로고    scopus 로고
    • Event-based stormwater management pond runoff temperature model
    • Sabouri, F., Gharabaghi, B., Sattar, A.M., Thompson, A.M., Event-based stormwater management pond runoff temperature model. J Hydrol. 540 (2016), 306–316.
    • (2016) J Hydrol. , vol.540 , pp. 306-316
    • Sabouri, F.1    Gharabaghi, B.2    Sattar, A.M.3    Thompson, A.M.4
  • 43
    • 84960366234 scopus 로고    scopus 로고
    • Event-based total suspended sediment particle size distribution model
    • Thompson, J., Sattar, A.M., Gharabaghi, B., Warner, R., Event-based total suspended sediment particle size distribution model. J. Hydrol. 536 (2016), 236–246.
    • (2016) J. Hydrol. , vol.536 , pp. 236-246
    • Thompson, J.1    Sattar, A.M.2    Gharabaghi, B.3    Warner, R.4
  • 44
    • 85008512164 scopus 로고    scopus 로고
    • Prediction of flow duration curves for ungauged basins
    • Atieh, M., Taylor, G., Sattar, A.M., Gharabaghi, B., Prediction of flow duration curves for ungauged basins. J. Hydrol. 545 (2017), 383–394.
    • (2017) J. Hydrol. , vol.545 , pp. 383-394
    • Atieh, M.1    Taylor, G.2    Sattar, A.M.3    Gharabaghi, B.4


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