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Volumn 18, Issue 1, 2010, Pages 33-41

Neural networks for forecasting daily reservoir inflows

Author keywords

Forecasting; Modeling; Neural network; Reservoir inflow

Indexed keywords


EID: 79952032388     PISSN: 01287680     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (10)
  • 1
    • 3242685028 scopus 로고    scopus 로고
    • Neural networks vs. ARMA modelling: Constructing benchmark case studies of river flow prediction
    • ARMA modelling: Constructing benchmark case studies of river flow prediction. Retrieved from
    • Abrahart, R.J. and See, L. (1998). Neural networks vs. ARMA modelling: Constructing benchmark case studies of river flow prediction. Retrieved from http://divcom.otago.ac.nz/sirc/GeoComp/GeoComp98/05/gc_05.htm.
    • (1998)
    • Abrahart, R.J.1    See, L.2
  • 2
    • 0026445234 scopus 로고
    • Effective and efficient global optimization for conceptual rainfall-runoff models
    • Duan, Q., Sorooshian, S. and Gupta, V.K. (1992). Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resources Research, 28 (4), 1015-1031.
    • (1992) Water Resources Research , vol.28 , Issue.4 , pp. 1015-1031
    • Duan, Q.1    Sorooshian, S.2    Gupta, V.K.3
  • 3
    • 0029413797 scopus 로고
    • Artificial neural network modeling of the rainfall-runoff process
    • Hsu, K., Gupta, H.V. and Sorooshian, S. (1995). Artificial neural network modeling of the rainfall-runoff process. Water Resources Research, 31(10), 2517-2530.
    • (1995) Water Resources Research , vol.31 , Issue.10 , pp. 2517-2530
    • Hsu, K.1    Gupta, H.V.2    Sorooshian, S.3
  • 4
    • 0035977694 scopus 로고    scopus 로고
    • Groups and neural networks based stream flow data infilling procedures
    • Khalil, M., Panu, U.S. and Lennox, W.C. (2001). Groups and neural networks based stream flow data infilling procedures. Journal of Hydrology, 241, 153-176.
    • (2001) Journal of Hydrology , vol.241 , pp. 153-176
    • Khalil, M.1    Panu, U.S.2    Lennox, W.C.3
  • 5
    • 0029413038 scopus 로고
    • Multivariate modelling of water resources time series using artificial neural networks
    • Raman, H. and Sunilkumar, N. (1995). Multivariate modelling of water resources time series using artificial neural networks. Journal of Hydrology Science, 40(2), 145-163.
    • (1995) Journal of Hydrology Science , vol.40 , Issue.2 , pp. 145-163
    • Raman, H.1    Sunilkumar, N.2
  • 7
    • 0345290559 scopus 로고    scopus 로고
    • Applications of data-driven modelling and machine learning in control of water resources
    • M. Mohammadian, R.A. Sarker and X. Yao (Eds, Idea Group Publishing
    • Solomatine, D.P. (2002). Applications of data-driven modelling and machine learning in control of water resources. In M. Mohammadian, R.A. Sarker and X. Yao (Eds.), Computational intelligence in control (pp. 197-217). Idea Group Publishing.
    • (2002) Computational Intelligence In Control , pp. 197-217
    • Solomatine, D.P.1
  • 8
    • 0002857056 scopus 로고
    • Model calibration
    • V.J. Singh (Ed.), USA: Water Resources Publications, Co
    • Sorooshian, S. and Gupta, V.K. (1995). Model calibration. In V.J. Singh (Ed.), Computer models in watershed hydrology (pp. 23-68). USA: Water Resources Publications, Co.
    • (1995) Computer Models In Watershed Hydrology , pp. 23-68
    • Sorooshian, S.1    Gupta, V.K.2
  • 9
    • 0030162090 scopus 로고    scopus 로고
    • Calibration of conceptual rainfall-runoff models: Sensitivity to calibration data
    • Yapo, P., Gupta, V.K. and Sorooshian, S. (1996). Calibration of conceptual rainfall-runoff models: Sensitivity to calibration data. Journal of Hydrology, 181, 23-48.
    • (1996) Journal of Hydrology , vol.181 , pp. 23-48
    • Yapo, P.1    Gupta, V.K.2    Sorooshian, S.3
  • 10
    • 0033019602 scopus 로고    scopus 로고
    • Short-term streamflow forecasting using artificial neural networks
    • Zealand, C.M., Burn, D.H. and Simonovic, S.P. (1999). Short-term streamflow forecasting using artificial neural networks. Journal of Hydrology, 214, 32-48.
    • (1999) Journal of Hydrology , vol.214 , pp. 32-48
    • Zealand, C.M.1    Burn, D.H.2    Simonovic, S.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.