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Volumn 16, Issue 1, 2002, Pages 71-88

A neural networks approach for deriving irrigation reservoir operating rules

Author keywords

Dynamic programming; Irrigation reservoir; Neural networks; Operating rules

Indexed keywords

COMPUTER SIMULATION; DROUGHT; DYNAMIC PROGRAMMING; IRRIGATION; OPTIMIZATION; SOILS;

EID: 0036478261     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1015563820136     Document Type: Article
Times cited : (106)

References (17)
  • 1
    • 0034174280 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology. I: Preliminary concepts
    • ASCE Task Committee on Application of Artificial Neural Networks in Hydrology
    • (2000) J. Hydrologic Engng. ASCE , vol.5 , Issue.2 , pp. 115-123
  • 13
    • 77955077903 scopus 로고    scopus 로고
    • A comparison between neural network approach and multiple regression procedures for deriving reservoir operation policies
    • V.P. Singh, II Won Seo and J.H. Sonu (eds), Proceedings of the International Conference on Water, Environment, Ecology, Socio-Economics, and Health Engineering, Water Resources Publications, Colorado, U.S.A
    • (1999) Water Resources Planning and Management
    • Rossi, G.1    Ancarani, A.2    Cancelliere, A.3
  • 16
    • 0022268780 scopus 로고
    • Reservoir management and optimization models: A state of the art review
    • (1985) Water Resour. Res , vol.21 , Issue.12 , pp. 1797-1818
    • Yeh, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.