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Volumn 11, Issue 3, 2009, Pages 355-362

Monthly runoff estimation using artificial neural networks

Author keywords

Artificial Neural Networks; Monthly rainfall runoff models; Runoff estimation

Indexed keywords


EID: 69249105622     PISSN: 16807073     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (20)

References (18)
  • 3
    • 0032688155 scopus 로고    scopus 로고
    • River flood forecasting with a neural network model
    • Campolo, M., Andreussi, P. and Soltani, A. 1999. River Flood Forecasting with a Neural Network Model. Water Resour. Res., 35(4):1191-1197.
    • (1999) Water Resour. Res. , vol.35 , Issue.4 , pp. 1191-1197
    • Campolo, M.1    Andreussi, P.2    Soltani, A.3
  • 4
    • 0034993945 scopus 로고    scopus 로고
    • Artificial neural networks modeling of water table depth fluctuations
    • Coulibaly, P., Anctil, F., Aravena, R. and Bobee, B. 2001. Artificial Neural Networks Modeling of Water Table Depth Fluctuations. Water Resour. Res., 37(4):885-896.
    • (2001) Water Resour. Res. , vol.37 , Issue.4 , pp. 885-896
    • Coulibaly, P.1    Anctil, F.2    Aravena, R.3    Bobee, B.4
  • 6
    • 0027007868 scopus 로고
    • Rainfall forecasting in space and time using a neural network
    • Elsevier Science Publication
    • French, M. N., Krajewski, W. F. and Cuykendall, R. R. 1992. Rainfall Forecasting in Space and Time Using a Neural Network. J. Hydrol., Elsevier Science Publication, 137: 1-31.
    • (1992) J. Hydrol. , vol.137 , pp. 1-31
    • French, M.N.1    Krajewski, W.F.2    Cuykendall, R.R.3
  • 8
    • 0034174396 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology: II, hydrologic applications
    • Govindaraju, R. S. 2000. Artificial Neural Networks in Hydrology: II, Hydrologic Applications. J. Hydrol. Eng., 5(2): 124-137.
    • (2000) J. Hydrol. Eng. , vol.5 , Issue.2 , pp. 124-137
    • Govindaraju, R.S.1
  • 9
    • 0033827239 scopus 로고    scopus 로고
    • Comparison of anns and empirical approaches for predicting watershed runoff
    • Jagadeesh, A., Zhang, B. and Govindaraju, R. 2000. Comparison of ANNs and Empirical Approaches for Predicting Watershed Runoff. J. Water Resour. Planning Manage., 126(3):156-166.
    • (2000) J. Water Resour. Planning Manage. , vol.126 , Issue.3 , pp. 156-166
    • Jagadeesh, A.1    Zhang, B.2    Govindaraju, R.3
  • 11
    • 12544259920 scopus 로고    scopus 로고
    • Daily river flow forecasting using artificial neural networks and auto-regressive models
    • Kisi, O. 2005. Daily River Flow Forecasting Using Artificial Neural Networks and Auto-Regressive Models. Turkish J. Eng. Envir. Sci., 29:9-20.
    • (2005) Turkish J. Eng. Envir. Sci. , vol.29 , pp. 9-20
    • Kisi, O.1
  • 12
    • 2542447559 scopus 로고    scopus 로고
    • River flow forecasting using recurrent neural networks
    • Kumar, D. N., Rajo, K. S. and Satish, T. 2004. River Flow Forecasting Using Recurrent Neural Networks. Water Resour. Manage., 18: 143-161.
    • (2004) Water Resour. Manage. , vol.18 , pp. 143-161
    • Kumar, D.N.1    Rajo, K.S.2    Satish, T.3
  • 14
    • 69249084392 scopus 로고    scopus 로고
    • Vol.1, 2nd Ed., Amirkabir Technology University Publications, Tehran
    • Mahnaj, M. 2002. Neural Networks (Computational Intelligence). Vol.1, 2nd Ed., Amirkabir Technology University Publications, Tehran.
    • (2002) Neural Networks (Computational Intelligence)
    • Mahnaj, M.1
  • 15
    • 0033957764 scopus 로고    scopus 로고
    • Neural networks for the prediction and forecasting of water resources variable: A review of modeling issues and application
    • Maier, H. R. and Dandy, G. C. 2000. Neural Networks for the Prediction and Forecasting of Water Resources Variable: A Review of Modeling Issues and Application. Environmental Modeling and Software, 5: 101-124.
    • (2000) Environmental Modeling and Software , vol.5 , pp. 101-124
    • Maier, H.R.1    Dandy, G.C.2
  • 16
    • 0036641896 scopus 로고    scopus 로고
    • Mathematical modeling of watershed hydrology
    • Singh, V. P. and Woolhiser, D. A. 2002. Mathematical Modeling of Watershed Hydrology. J. Hydrol. Eng., 7(4): 270:292.
    • (2002) J. Hydrol. Eng. , vol.7 , Issue.4 , pp. 270-292
    • Singh, V.P.1    Woolhiser, D.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.