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Volumn 127, Issue 1, 2001, Pages 54-55

Back-propagation neural network in tidal-level forecasting

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EID: 85001760409     PISSN: 0733950X     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-950X(2001)127:1(54)     Document Type: Article
Times cited : (5)

References (3)
  • 1
    • 0022264430 scopus 로고
    • The relationship between data and the precision of parameter estimates of hydrologic models
    • Gupta, V. K., and Sorooshian, S. (1985). “The relationship between data and the precision of parameter estimates of hydrologic models.” J. Hydrology, 81, 57–77.
    • (1985) J. Hydrology , vol.81 , pp. 57-77
    • Gupta, V.K.1    Sorooshian, S.2
  • 2
    • 0003399681 scopus 로고
    • Prentice-Hall, Englewood Cliffs, N.J
    • McCuen, R. H. (1993). Statistical hydrology, Prentice-Hall, Englewood Cliffs, N.J.
    • (1993) Statistical Hydrology
    • McCuen, R.H.1
  • 3
    • 0033167344 scopus 로고    scopus 로고
    • Rainfall-runoff modeling using artificial neural networks
    • ASCE
    • Tokar, A. S., and Johnson, P. A. (1999). “Rainfall-runoff modeling using artificial neural networks.” J. Hydrologic Engrg., ASCE, 4(3), 232–239.
    • (1999) J. Hydrologic Engrg. , vol.4 , Issue.3 , pp. 232-239
    • Tokar, A.S.1    Johnson, P.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.