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Volumn 33, Issue 5, 2002, Pages 245-260

Reservoir operation using the neural network and fuzzy systems for dam control and operation support

Author keywords

Artificial intelligence; Dam control system; Fuzzy set theory; Neural network

Indexed keywords

DAMS; DISCHARGE (FLUID MECHANICS); DRAINAGE; FLOOD CONTROL; FUZZY SETS; NEURAL NETWORKS;

EID: 0036579528     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0965-9978(02)00015-7     Document Type: Article
Times cited : (61)

References (17)
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  • 12
    • 0019392153 scopus 로고
    • Analysis of hydrologic characteristics from runoff data - A hydrologic inverse problem
    • (1981) J Hydrol , vol.49 , pp. 287-313
    • Hino, M.1    Hasebe, M.2
  • 13
    • 0021645112 scopus 로고
    • Identification and prediction of non-linear hydrologic systems by the filter separation auto-regressive (AR) method: Extension to hourly hydrologic data
    • Global water: Science and engineering - The Ven Te Chow memorial volume. Stout G.E., Davis G.H., editors
    • (1984) J Hydrol , vol.68 , pp. 181-210
    • Hino, M.1    Hasebe, M.2
  • 14
    • 0024855611 scopus 로고
    • Flood forecasting by filter separation AR method and comparison with modeling efficiencies by some rainfall-runoff models
    • (1989) J Hydrol , vol.110 , pp. 107-136
    • Hasebe, M.1    Hino, M.2    Hoshi, K.3
  • 15
    • 0003052380 scopus 로고
    • Genetic algorithms for fuzzy logic controllers
    • (1991) AI Expert , vol.6 , Issue.2 , pp. 26-33
    • Karr, C.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.