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Volumn 19, Issue 12, 2014, Pages

Genetic programming in groundwater modeling

Author keywords

Adaptive neural fuzzy inference system (ANFIS); Genetic programming (GP); Groundwater; Modeling

Indexed keywords

AQUIFERS; ARTIFICIAL INTELLIGENCE; DEEP NEURAL NETWORKS; FUZZY INFERENCE; FUZZY LOGIC; FUZZY SYSTEMS; GENETIC ALGORITHMS; GENETIC PROGRAMMING; GROUNDWATER; GROUNDWATER FLOW; GROUNDWATER RESOURCES; HYDROGEOLOGY; ITERATIVE METHODS; MEAN SQUARE ERROR; MODELS; NUMERICAL METHODS; NUMERICAL MODELS; STATISTICAL TESTS; THERMAL STRESS; WATER MANAGEMENT;

EID: 84911124175     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000987     Document Type: Article
Times cited : (71)

References (55)
  • 1
    • 78651343715 scopus 로고    scopus 로고
    • Optimizing multireservoir operation rules: An improved HBMO approach.
    • Afshar, A., Shafii, M., and Bozorg Haddad, O. (2010). "Optimizing multireservoir operation rules: An improved HBMO approach." J. Hydroinf., 13(1), 121-139.
    • (2010) J. Hydroinf. , vol.13 , Issue.1 , pp. 121-139
    • Afshar, A.1    Shafii, M.2    Bozorg Haddad, O.3
  • 2
    • 79952697761 scopus 로고    scopus 로고
    • Genetic programming for predicting longitudinal dispersion coefficients in streams.
    • Azamathulla, H. M., and Ghani, A. A. (2011). "Genetic programming for predicting longitudinal dispersion coefficients in streams." Water Resour. Manage., 25(6), 1537-1544.
    • (2011) Water Resour. Manage. , vol.25 , Issue.6 , pp. 1537-1544
    • Azamathulla, H.M.1    Ghani, A.A.2
  • 3
    • 80051665368 scopus 로고    scopus 로고
    • Gene-expression programming for the development of a stage-discharge curve of the Pahang River.
    • Azamathulla, H. M., Ghani, A. A., Leow, C. S., Chang, C. K., and Zakaria, N. A. (2011). "Gene-expression programming for the development of a stage-discharge curve of the Pahang River." Water Resour. Manage., 25(11), 2901-2916.
    • (2011) Water Resour. Manage. , vol.25 , Issue.11 , pp. 2901-2916
    • Azamathulla, H.M.1    Ghani, A.A.2    Leow, C.S.3    Chang, C.K.4    Zakaria, N.A.5
  • 4
    • 48649084544 scopus 로고    scopus 로고
    • Optimum rehabilitation strategy of water distribution systems using the HBMO algorithm.
    • Bozorg Haddad, O., Adams, B. J., and Marĩno, M. A. (2008c). "Optimum rehabilitation strategy of water distribution systems using the HBMO algorithm." J. Water Supply: Res. Technol., 57(5), 327-350.
    • (2008) J. Water Supply: Res. Technol. , vol.57 , Issue.5 , pp. 327-350
    • Bozorg Haddad, O.1    Adams, B.J.2    Marĩno, M.A.3
  • 5
    • 55549127591 scopus 로고    scopus 로고
    • Designoperation of multi-hydropower reservoirs: HBMO approach.
    • Bozorg Haddad, O., Afshar, A., and Marĩno, M. A. (2008a). "Designoperation of multi-hydropower reservoirs: HBMO approach." Water Resour. Manage., 22(12), 1709-1722.
    • (2008) Water Resour. Manage. , vol.22 , Issue.12 , pp. 1709-1722
    • Bozorg Haddad, O.1    Afshar, A.2    Marĩno, M.A.3
  • 6
    • 47949084346 scopus 로고    scopus 로고
    • Honey-bee mating optimization (HBMO) algorithm in deriving optimal operation rules for reservoirs.
    • Bozorg Haddad, O., Afshar, A., and Marĩno, M. A. (2008b). "Honey-bee mating optimization (HBMO) algorithm in deriving optimal operation rules for reservoirs." J. Hydroinf., 10(3), 257-264.
    • (2008) J. Hydroinf. , vol.10 , Issue.3 , pp. 257-264
    • Bozorg Haddad, O.1    Afshar, A.2    Marĩno, M.A.3
  • 7
    • 74549151827 scopus 로고    scopus 로고
    • Optimization of non-convex water resource problems by honey-bee mating optimization (HBMO) algorithm.
    • Bozorg Haddad, O., Afshar, A., and Marĩno, M. A. (2009). "Optimization of non-convex water resource problems by honey-bee mating optimization (HBMO) algorithm." Eng. Comput., 26(3), 267-280.
    • (2009) Eng. Comput. , vol.26 , Issue.3 , pp. 267-280
    • Bozorg Haddad, O.1    Afshar, A.2    Marĩno, M.A.3
  • 8
    • 79551612330 scopus 로고    scopus 로고
    • Multireservoir optimisation in discrete and continuous domains.
    • Bozorg Haddad, O., Afshar, A., and Marĩno, M. A. (2011a). "Multireservoir optimisation in discrete and continuous domains." Proc. Inst. Civ. Eng. Water Manage., 164(2), 57-72, 10.1680/wama.900077.
    • (2011) Proc. Inst. Civ. Eng. Water Manage. , vol.164 , Issue.2 , pp. 57-72
    • Bozorg Haddad, O.1    Afshar, A.2    Marĩno, M.A.3
  • 9
    • 34447625560 scopus 로고    scopus 로고
    • Dynamic penalty function as a strategy in solving water resources combinatorial optimization problems with honey-bee optimization (HBMO) algorithm.
    • Bozorg Haddad, O., and Marĩno, M. A. (2007). "Dynamic penalty function as a strategy in solving water resources combinatorial optimization problems with honey-bee optimization (HBMO) algorithm." J. Hydroinf., 9(3), 233-250.
    • (2007) J. Hydroinf. , vol.9 , Issue.3 , pp. 233-250
    • Bozorg Haddad, O.1    Marĩno, M.A.2
  • 10
    • 79952228953 scopus 로고    scopus 로고
    • Optimum operation of wells in coastal aquifers.
    • Bozorg Haddad, O., and Marĩno, M. A. (2011). "Optimum operation of wells in coastal aquifers." Proc. Inst. Civ. Eng. Water Manage., 164(3), 135-146, 10.1680/wama.1000037.
    • (2011) Proc. Inst. Civ. Eng. Water Manage. , vol.164 , Issue.3 , pp. 135-146
    • Bozorg Haddad, O.1    Marĩno, M.A.2
  • 11
  • 12
    • 28444489651 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system for prediction of water level in reservoir.
    • Chang, F.-J., and Chang, Y.-T. (2006). "Adaptive neuro-fuzzy inference system for prediction of water level in reservoir." Adv. Water Resour., 29(1), 1-10.
    • (2006) Adv. Water Resour. , vol.29 , Issue.1 , pp. 1-10
    • Chang, F.-J.1    Chang, Y.-T.2
  • 13
    • 27544472438 scopus 로고    scopus 로고
    • Comparison of several flood forecasting models in Yangtze River.
    • Chau, K.W.,Wu, C. L., and Li, Y. S. (2005). "Comparison of several flood forecasting models in Yangtze River." J. Hydrol. Eng., 10.1061/(ASCE) 1084-0699(2005)10:6(485), 485-491.
    • (2005) J. Hydrol. Eng. , pp. 485-491
    • Chau, K.W.1    Wu, C.L.2    Li, Y.S.3
  • 14
    • 33646075449 scopus 로고    scopus 로고
    • The strategy of building a flood forecast model by neuro-fuzzy network.
    • Chen, S.-H., Lin, Y.-H., Chang, L.-C., and Chang, F.-J. (2006). "The strategy of building a flood forecast model by neuro-fuzzy network." Hydrol. Process, 20(7), 1525-1540.
    • (2006) Hydrol. Process , vol.20 , Issue.7 , pp. 1525-1540
    • Chen, S.-H.1    Lin, Y.-H.2    Chang, L.-C.3    Chang, F.-J.4
  • 15
    • 33845428421 scopus 로고    scopus 로고
    • Intelligent manipulation and calibration of parameters for hydrological models.
    • Chen, W., and Chau, K. W. (2006). "Intelligent manipulation and calibration of parameters for hydrological models." Int. J. Environ. Pollut., 28(3-4), 432-447.
    • (2006) Int. J. Environ. Pollut. , vol.28 , Issue.3-4 , pp. 432-447
    • Chen, W.1    Chau, K.W.2
  • 16
    • 24944573867 scopus 로고    scopus 로고
    • Long-term prediction of discharges in Manwan Reservoir using artificial neural network models.
    • Cheng, C. T., Chau, K., Sun, Y.-G., and Lin, J.-Y. (2005). "Long-term prediction of discharges in Manwan Reservoir using artificial neural network models." Lect. Notes Comput. Sci., 3498, 1040-1045.
    • (2005) Lect. Notes Comput. Sci. , vol.3498 , pp. 1040-1045
    • Cheng, C.T.1    Chau, K.2    Sun, Y.-G.3    Lin, J.-Y.4
  • 17
    • 0002258659 scopus 로고
    • A representation for the adaptive generation of simple sequential programs.
    • John J. Grefenstette, ed., Carnegie Mellon Univ.
    • Cramer, N. L. (1985). "A representation for the adaptive generation of simple sequential programs." Proc., Int. Conf. on Genetic Algorithms and the Applications, John J. Grefenstette, ed., Carnegie Mellon Univ., 183-187.
    • (1985) Proc., Int. Conf. on Genetic Algorithms and the Applications , pp. 183-187
    • Cramer, N.L.1
  • 18
    • 79960107256 scopus 로고    scopus 로고
    • Effect of utility function curvature of Young's bargaining method on the design of WDNs.
    • Fallah-Mehdipour, E., Bozorg Haddad, O., Beygi, S., and Marĩno, M. A. (2011). "Effect of utility function curvature of Young's bargaining method on the design of WDNs." Water Resour. Manage., 25(9), 2197-2218.
    • (2011) Water Resour. Manage. , vol.25 , Issue.9 , pp. 2197-2218
    • Fallah-Mehdipour, E.1    Bozorg Haddad, O.2    Beygi, S.3    Marĩno, M.A.4
  • 19
    • 84867464144 scopus 로고    scopus 로고
    • Real- time operation of reservoir system by genetic programming.
    • Fallah-Mehdipour, E., Bozorg Haddad, O., and Marĩno, M. A. (2012). "Real- time operation of reservoir system by genetic programming." Water Resour. Manage., 26(14), 4091-4103.
    • (2012) Water Resour. Manage. , vol.26 , Issue.14 , pp. 4091-4103
    • Fallah-Mehdipour, E.1    Bozorg Haddad, O.2    Marĩno, M.A.3
  • 20
    • 84873587242 scopus 로고    scopus 로고
    • Developing reservoir operational decision rule by genetic programming.
    • Fallah-Mehdipour, E., Bozorg Haddad, O., and Marĩno, M. A. (2013). "Developing reservoir operational decision rule by genetic programming." J. Hydroinf., 15(1), 103-119.
    • (2013) J. Hydroinf. , vol.15 , Issue.1 , pp. 103-119
    • Fallah-Mehdipour, E.1    Bozorg Haddad, O.2    Marĩno, M.A.3
  • 21
    • 79952210968 scopus 로고    scopus 로고
    • Performance of a novel hybrid algorithm in the design of water networks.
    • Ghajarnia, N., Bozorg Haddad, O., and Marĩno, M. A. (2011). "Performance of a novel hybrid algorithm in the design of water networks." Proc. Inst. Civ. Eng. Water Manage., 164(4), 173-191, 10.1680/wama.1000028.
    • (2011) Proc. Inst. Civ. Eng. Water Manage. , vol.164 , Issue.4 , pp. 173-191
    • Ghajarnia, N.1    Bozorg Haddad, O.2    Marĩno, M.A.3
  • 22
    • 77958543041 scopus 로고    scopus 로고
    • Prediction of hourly actual evapotranspiration using neural network, genetic programming, and statistical models.
    • Izadifar, Z., and Elshorbagy, A. (2010). "Prediction of hourly actual evapotranspiration using neural network, genetic programming, and statistical models." Hydrol. Processes, 24(23), 3413-3425.
    • (2010) Hydrol. Processes , vol.24 , Issue.23 , pp. 3413-3425
    • Izadifar, Z.1    Elshorbagy, A.2
  • 23
    • 80055009032 scopus 로고    scopus 로고
    • Monthly groundwater level prediction using ANN and neuro-fuzzy models: A case study on Kerman plain, Iran.
    • Jalalkamali, A., Sedghi, H., and Manshouri, M. (2011). "Monthly groundwater level prediction using ANN and neuro-fuzzy models: A case study on Kerman plain, Iran." J. Hydroinf., 13(4), 867-876.
    • (2011) J. Hydroinf. , vol.13 , Issue.4 , pp. 867-876
    • Jalalkamali, A.1    Sedghi, H.2    Manshouri, M.3
  • 24
    • 0027601884 scopus 로고
    • ANFIS: Adaptive network based fuzzy inference system.
    • Jang, J.-S. R. (1993). "ANFIS: Adaptive network based fuzzy inference system." IEEE Trans. Syst. Man Cybern., 23(3), 665-684.
    • (1993) IEEE Trans. Syst. Man Cybern. , vol.23 , Issue.3 , pp. 665-684
    • Jang, J.-S.R.1
  • 25
    • 15844401229 scopus 로고    scopus 로고
    • Transient groundwater modeling using spreadsheets.
    • Karahan, H., and Ayvaz, M. T. (2005). "Transient groundwater modeling using spreadsheets." Adv. Eng. Softw., 36(6), 374-384.
    • (2005) Adv. Eng. Softw. , vol.36 , Issue.6 , pp. 374-384
    • Karahan, H.1    Ayvaz, M.T.2
  • 26
    • 78049264460 scopus 로고    scopus 로고
    • Comparison of groundwater level estimation using neuro-fuzzy and ordinary kriging.
    • Kholghi, M., and Hosseini, S. M. (2009). "Comparison of groundwater level estimation using neuro-fuzzy and ordinary kriging." Environ. Model. Assess., 14(6), 729-737.
    • (2009) Environ. Model. Assess. , vol.14 , Issue.6 , pp. 729-737
    • Kholghi, M.1    Hosseini, S.M.2
  • 28
    • 80053449485 scopus 로고    scopus 로고
    • Precipitation forecasting using waveletgenetic programming and wavelet-neuro-fuzzy conjunction models.
    • Kisi, O., and Shiri, J. (2011). "Precipitation forecasting using waveletgenetic programming and wavelet-neuro-fuzzy conjunction models." Water Resour. Manage., 25(13), 3135-3152.
    • (2011) Water Resour. Manage. , vol.25 , Issue.13 , pp. 3135-3152
    • Kisi, O.1    Shiri, J.2
  • 31
    • 84911040435 scopus 로고    scopus 로고
    • MATLAB 6 [Computer software]. Matlab Version 2012a. Mathworks, Natick, MA.
    • MATLAB 6 [Computer software]. Matlab Version 2012a. Mathworks, Natick, MA.
  • 32
    • 84911040433 scopus 로고    scopus 로고
    • MODFLOW [Computer software]. MODFLOW 2005. U.S. Geological Survey (USGS), Reston, VA.
    • MODFLOW [Computer software]. MODFLOW 2005. U.S. Geological Survey (USGS), Reston, VA.
  • 33
    • 34247365083 scopus 로고    scopus 로고
    • Reservoir operation in assigning optimal multi-crop irrigation areas.
    • Moradi-Jalal, M., Bozorg Haddad, O., Karney, B. W., and Marĩno, M. A. (2007). "Reservoir operation in assigning optimal multi-crop irrigation areas." Agric. Water Manage., 90(1-2), 149-159.
    • (2007) Agric. Water Manage. , vol.90 , Issue.1-2 , pp. 149-159
    • Moradi-Jalal, M.1    Bozorg Haddad, O.2    Karney, B.W.3    Marĩno, M.A.4
  • 34
    • 33845384467 scopus 로고    scopus 로고
    • Neural network and genetic programming for modeling coastal algal blooms.
    • Muttil, N., and Chau, K.-W. (2006). "Neural network and genetic programming for modeling coastal algal blooms." Int. J. Environ. Pollut., 28(3-4), 223-238.
    • (2006) Int. J. Environ. Pollut. , vol.28 , Issue.3-4 , pp. 223-238
    • Muttil, N.1    Chau, K.-W.2
  • 35
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models part I-A discussion of principles.
    • Nash, J. E., and Sutcliff, J. V. (1970). "River flow forecasting through conceptual models part I-A discussion of principles." J. Hydrol., 10(3), 282-290.
    • (1970) J. Hydrol. , vol.10 , Issue.3 , pp. 282-290
    • Nash, J.E.1    Sutcliff, J.V.2
  • 36
    • 79951579790 scopus 로고    scopus 로고
    • Forecasting monthly urban water demand using extended kalman filter and genetic programming.
    • Nasseri, M., Moeini, A., and Tabesh, M. (2011). "Forecasting monthly urban water demand using extended kalman filter and genetic programming." Expert Syst. Appl., 38(6), 7387-7395.
    • (2011) Expert Syst. Appl. , vol.38 , Issue.6 , pp. 7387-7395
    • Nasseri, M.1    Moeini, A.2    Tabesh, M.3
  • 37
    • 84860897920 scopus 로고    scopus 로고
    • Optimizing irrigation water allocation and multicrop planning using discrete PSO algorithm
    • Noory, H., Liaghat, A. M., Parsinejad, M., and Bozorg Haddad, O. (2012). "Optimizing irrigation water allocation and multicrop planning using discrete PSO algorithm." J. Irrig. Drain. Eng., 10.1061/(ASCE)IR .1943-4774.0000426, 437-444.
    • (2012) J. Irrig. Drain. Eng. , pp. 437-444
    • Noory, H.1    Liaghat, A.M.2    Parsinejad, M.3    Bozorg Haddad, O.4
  • 38
    • 84879102465 scopus 로고    scopus 로고
    • Modeling of water quality parameters using data-driven models
    • Orouji, H., Bozorg Haddad, O., Fallah-Mehdipour, E., and Marĩno, M. A. (2013). "Modeling of water quality parameters using data-driven models." J. Environ. Eng., 10.1061/(ASCE)EE.1943-7870.0000706, 947-957.
    • (2013) J. Environ. Eng. , pp. 947-957
    • Orouji, H.1    Bozorg Haddad, O.2    Fallah-Mehdipour, E.3    Marĩno, M.A.4
  • 40
    • 84911040431 scopus 로고    scopus 로고
    • A MATLAB tutorial
    • Dept. of Mathematics, Ohio State Univ., Columbus, OH
    • Overman, E. (2011). "A MATLAB tutorial." Dept. of Mathematics, Ohio State Univ., Columbus, OH, 180.
    • (2011) , pp. 180
    • Overman, E.1
  • 41
    • 33847065032 scopus 로고    scopus 로고
    • Determination of the unit hydrograph of a typical urban basin genetic programming and artificial neural networks.
    • Rabunal, J. R., Puertas, J., Suarez, J., and Rivero, D. (2007). "Determination of the unit hydrograph of a typical urban basin genetic programming and artificial neural networks." Hydrol. Processes, 21(4), 476-485.
    • (2007) Hydrol. Processes , vol.21 , Issue.4 , pp. 476-485
    • Rabunal, J.R.1    Puertas, J.2    Suarez, J.3    Rivero, D.4
  • 42
    • 67649111107 scopus 로고    scopus 로고
    • Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models.
    • Rajaee, T., Mirbagheri, S. A., Zounemat-Kermani, M., and Nourani, V. (2009). "Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models." Sci. Total Environ., 407(17), 4916-4927.
    • (2009) Sci. Total Environ. , vol.407 , Issue.17 , pp. 4916-4927
    • Rajaee, T.1    Mirbagheri, S.A.2    Zounemat-Kermani, M.3    Nourani, V.4
  • 45
    • 84859108726 scopus 로고    scopus 로고
    • River flow estimation and forecasting by using two different adaptive neuro-fuzzy approaches.
    • Sanikhani, H., and Kisi, O. (2012). "River flow estimation and forecasting by using two different adaptive neuro-fuzzy approaches." Water Resour. Manage., 26(6), 1715-1729.
    • (2012) Water Resour. Manage. , vol.26 , Issue.6 , pp. 1715-1729
    • Sanikhani, H.1    Kisi, O.2
  • 46
    • 0032804627 scopus 로고    scopus 로고
    • A genetic programming approach to rainfall-runoff modeling.
    • Savic, D. A., Walters, G. A., and Davidson, J. W. (1999). "A genetic programming approach to rainfall-runoff modeling." Water Resour. Manage., 13(3), 219-231.
    • (1999) Water Resour. Manage. , vol.13 , Issue.3 , pp. 219-231
    • Savic, D.A.1    Walters, G.A.2    Davidson, J.W.3
  • 47
    • 27144471220 scopus 로고    scopus 로고
    • GPLAB: A genetic programming toolbox for MATLAB
    • Silva, S. (2002). "GPLAB: A genetic programming toolbox for MATLAB." .
    • (2002)
    • Silva, S.1
  • 48
    • 40049084636 scopus 로고    scopus 로고
    • Genetic programming approach for flood routing in natural channels.
    • Sivapragasam, C., Maheswaran, R., and Venkatesh, V. (2008). "Genetic programming approach for flood routing in natural channels." Hydrol. Processes, 22(5), 623-628.
    • (2008) Hydrol. Processes , vol.22 , Issue.5 , pp. 623-628
    • Sivapragasam, C.1    Maheswaran, R.2    Venkatesh, V.3
  • 49
    • 79151483095 scopus 로고    scopus 로고
    • Developing operating rules for reservoirs considering the water quality issues: Application of ANFIS-based surrogate models.
    • Soltani, F., Kerachian, R., and Shirangi, E. (2010). "Developing operating rules for reservoirs considering the water quality issues: Application of ANFIS-based surrogate models." Expert Syst. Appl., 37(9), 6639-6645.
    • (2010) Expert Syst. Appl. , vol.37 , Issue.9 , pp. 6639-6645
    • Soltani, F.1    Kerachian, R.2    Shirangi, E.3
  • 50
    • 78650310372 scopus 로고    scopus 로고
    • Effect of breakage level one in design of water distribution networks.
    • Soltanjalili, M., Bozorg Haddad, O., and Marĩno, M. A. (2011). "Effect of breakage level one in design of water distribution networks." Water Resour. Manage., 25(1), 311-337.
    • (2011) Water Resour. Manage. , vol.25 , Issue.1 , pp. 311-337
    • Soltanjalili, M.1    Bozorg Haddad, O.2    Marĩno, M.A.3
  • 51
    • 64749115329 scopus 로고    scopus 로고
    • Fuzzy and neuro-fuzzy models for short- term water demand forecasting in Tehran.
    • Tabesh, M., and Dini, M. (2009). "Fuzzy and neuro-fuzzy models for short- term water demand forecasting in Tehran." Iranian J. Sci. Technol. Trans. B, Eng., 33(B1), 61-77.
    • (2009) Iranian J. Sci. Technol. Trans. B, Eng. , vol.33 , Issue.B1 , pp. 61-77
    • Tabesh, M.1    Dini, M.2
  • 52
    • 84868367414 scopus 로고    scopus 로고
    • Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon.
    • Taormina, R., Chau, K.-W., and Sethi, R. (2012). "Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon." Eng. Appl. Artif. Intell., 25(8), 1670-1676.
    • (2012) Eng. Appl. Artif. Intell. , vol.25 , Issue.8 , pp. 1670-1676
    • Taormina, R.1    Chau, K.-W.2    Sethi, R.3
  • 54
    • 68349105875 scopus 로고    scopus 로고
    • A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series.
    • Wang, W.-C., Chau, K.-W., Cheng, C.-T., and Qiu, L. (2009). "A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series." J. Hydrol., 374(3-4), 294-306.
    • (2009) J. Hydrol. , vol.374 , Issue.3-4 , pp. 294-306
    • Wang, W.-C.1    Chau, K.-W.2    Cheng, C.-T.3    Qiu, L.4
  • 55
    • 70349777454 scopus 로고    scopus 로고
    • Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques.
    • Wu, C. L., Chau, K. W., and Li, Y. S. (2009). "Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques." Water Resour. Res., 45(8), W08432.
    • (2009) Water Resour. Res. , vol.45 , Issue.8
    • Wu, C.L.1    Chau, K.W.2    Li, Y.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.