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Volumn , Issue , 2005, Pages 1667-1673

Ocean based water allocation forecasts using an artificial intelligence approach

Author keywords

Blowering and burrinjuk dams; Hidden layer; Inflows; Neuron; Sea surface temperature (SST); Sensitivity; Southern oscillation index (SOI); Water allocation

Indexed keywords

HIDDEN LAYERS; INFLOWS; SEA SURFACE TEMPERATURES; SENSITIVITY; SOUTHERN OSCILLATION INDEX; WATER ALLOCATION; FINANCIAL VIABILITY; HYDROLOGIC SIMULATIONS; HYDROLOGICAL MODELLING; HYDROLOGICAL MODELS; INTERACTIVE MODELING; IRRIGATION EFFICIENCY; SEA SURFACE TEMPERATURE (SST);

EID: 80052940346     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (3)
  • 3
    • 0033957764 scopus 로고    scopus 로고
    • Neural networks for the prediction and forecasting of water resources variables: A review of modelling issues and applications
    • Department Civil and Environmental Engineering, The University of Adelaide, S.A. 5005, Australia
    • Holger, R.M and G.C. Dandy (2000), Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications. Environmental Modelling & Software, 15, 101-124, Department Civil and Environmental Engineering, The University of Adelaide, S.A. 5005, Australia.
    • (2000) Environmental Modelling & Software , vol.15 , pp. 101-124
    • Holger, R.M.1    Dandy, G.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.