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Volumn , Issue SPEC. ISSUE 50, 2007, Pages 317-321

Evaluation of neuro fuzzy and numerical wave prediction models in Lake Ontario

Author keywords

ANFIS; Fuzzy Inference System; MIKE 21; Spectral Wave Model

Indexed keywords


EID: 67649090704     PISSN: 07490208     EISSN: 15515036     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (13)

References (17)
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    • Booij, N.1    Ris, R.C.2    Holthuijsen, L.H.3
  • 4
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    • CHIU S.L., 1994. Fuzzy model identification based on cluster estimation, Journal Intelligent Fuzzy Systems, 2, 234-244.
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    • Chiu, S.L.1
  • 6
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    • Gdansk, Poland
    • ELDEBERKY, Y., and BATTJES, J.A., 1995. Parameterisation of trial interactions in wave energy model, Coastal Dynamic Conference, ASCE, (Gdansk, Poland).
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    • Eldeberky, Y.1    Battjes, J.A.2
  • 7
    • 0024475828 scopus 로고
    • A prediction mode for stationary, short-crested waves in shallow water with ambient currents
    • DOI 10.1016/0378-3839(89)90031-8
    • HOLTHUIJSEN, L.H.; BOOIJ, N., and HERBERS, T.H.C., 1989. A prediction model for stationary, short-crested waves in shallow water with ambient currents. Coastal engineering, 13, 23-54. (Pubitemid 19306940)
    • (1989) Coastal Engineering , vol.13 , Issue.1 , pp. 23-54
    • Holthuijsen, L.H.1    Booij, N.2    Herbers, T.H.C.3
  • 9
    • 0025926025 scopus 로고
    • Quasi-linear theory of wind wave generation applied to wave forecasting
    • JANSSEN, P.A.E.M., 1991. Quasi-linear theory of wind wave generation applied to wave forecasting. Journal of physical oceanography, 21, 1631-1642.
    • (1991) Journal of Physical Oceanography , vol.21 , pp. 1631-1642
    • Janssen, P.A.E.M.1
  • 11
    • 22144443524 scopus 로고    scopus 로고
    • Application of fuzzy inference system in the prediction of wave parameters
    • KAZEMINEZHAD, M.H.; ETEMAD-SHAHIDI, A., and MOUSAVI S.J, 2005. Application of fuzzy inference system in the prediction of wave parameters. Ocean Engineering, 32, 1709-1725.
    • (2005) Ocean Engineering , vol.32 , pp. 1709-1725
    • Kazeminezhad, M.H.1    Etemad-Shahidi, A.2    Mousavi, S.J.3
  • 15
    • 0037036332 scopus 로고    scopus 로고
    • Neural network for wave forecasting among multi-stations
    • TSAI, C.P.; LIN, C., and SHEN, J.N., 2002. Neural network for wave forecasting among multi-stations. Ocean Engineering, 29, 1683-1695.
    • (2002) Ocean Engineering , vol.29 , pp. 1683-1695
    • Tsai, C.P.1    Lin, C.2    Shen, J.N.3
  • 16
    • 77956822949 scopus 로고    scopus 로고
    • Coastal engineering manual
    • U.S. ARMY Chapter II-2, Engineer Manual 1110-2-1100, U.S. Army Corps of Engineers, Washington, DC
    • U.S. ARMY, 2003. Coastal Engineering Manual. Chapter II-2, Meteorology and Wave Climate. Engineer Manual 1110-2-1100, U.S. Army Corps of Engineers, Washington, DC.
    • (2003) Meteorology and Wave Climate
  • 17
    • 84883491201 scopus 로고
    • The WAM model - A third generation ocean wave prediction model
    • WAMDI GROUP
    • WAMDI GROUP, 1988. The WAM model - A third generation ocean wave prediction model. Journal of physical oceanography, 18, 1775-1810.
    • (1988) Journal of Physical Oceanography , vol.18 , pp. 1775-1810


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.