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Volumn 37, Issue 16, 2010, Pages 1443-1451

Significant wave height forecasting using wavelet fuzzy logic approach

Author keywords

Forecasting; Fuzzy logic; Neural networks; Significant wave height; Wavelet

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOREGRESSIVE MOVING AVERAGE METHOD; DATA SETS; ENGINEERING APPLICATIONS; FUZZY LOGIC APPROACH; LEADTIME; MODEL PERFORMANCE; SIGNIFICANT WAVE HEIGHT; SPECTRAL BAND; WAVE HEIGHTS; WAVE PERIOD; WAVELET; WAVELET TECHNIQUES; WEST COAST;

EID: 77957260567     PISSN: 00298018     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.oceaneng.2010.07.009     Document Type: Article
Times cited : (108)

References (30)
  • 2
    • 0344286516 scopus 로고    scopus 로고
    • Real time wave forecasting using neural network
    • M.C. Deo, and C.S. Naidu Real time wave forecasting using neural network Ocean Engineering 26 3 1999 191 203
    • (1999) Ocean Engineering , vol.26 , Issue.3 , pp. 191-203
    • Deo, M.C.1    Naidu, C.S.2
  • 3
    • 0037409019 scopus 로고    scopus 로고
    • Prediction of breaking waves with neural networks
    • DOI 10.1016/S0029-8018(02)00086-0
    • M.C. Deo, and S.S. Jagdale Prediction of breaking waves with neural networks Ocean Engineering 30 2003 1163 1178 (Pubitemid 36294708)
    • (2003) Ocean Engineering , vol.30 , Issue.9 , pp. 1163-1178
    • Deo, M.C.1    Jagdale, S.S.2
  • 4
    • 0035400982 scopus 로고    scopus 로고
    • Neural networks for wave forecasting
    • DOI 10.1016/S0029-8018(00)00027-5, PII S0029801800000275
    • M.C. Deo, A. Jha, A.S. Chaphekar, and K. Ravikant Neural networks for wave forecasting Ocean Engineering 28 2001 889 898 (Pubitemid 32329422)
    • (2001) Ocean Engineering , vol.28 , Issue.7 , pp. 889-898
    • Deo, M.C.1    Jha, A.2    Chaphekar, A.S.3    Ravikant, K.4
  • 5
    • 0028594433 scopus 로고
    • Preliminary assessment of the wave-energy resource using observed wave and wind data
    • R.C. Ertekin, and Y. Xu Preliminary assessment of the wave-energy resource using observed wave and wind data Energy 19 7 1994 729 738
    • (1994) Energy , vol.19 , Issue.7 , pp. 729-738
    • Ertekin, R.C.1    Xu, Y.2
  • 6
    • 71549124103 scopus 로고    scopus 로고
    • Comparison between M5′ model tree and neural networks for prediction of significant wave height in lake superior
    • A. Etemad-Shahidi, and J. Mahjoobi Comparison between M5′ model tree and neural networks for prediction of significant wave height in lake superior Ocean Engineering 36 2009 1175 1181
    • (2009) Ocean Engineering , vol.36 , pp. 1175-1181
    • Etemad-Shahidi, A.1    Mahjoobi, J.2
  • 7
    • 46749107461 scopus 로고    scopus 로고
    • Real-time wave forecasting using genetic programming
    • S. Gaur, and M.C. Deo Real-time wave forecasting using genetic programming Ocean Engineering 35 2008 1166 1172
    • (2008) Ocean Engineering , vol.35 , pp. 1166-1172
    • Gaur, S.1    Deo, M.C.2
  • 8
    • 32644437399 scopus 로고    scopus 로고
    • Wave height forecasting by the transfer function model
    • P.C. Ho, and J.Z. Yim Wave height forecasting by the transfer function model Ocean Engineering 33 2006 1230 1248
    • (2006) Ocean Engineering , vol.33 , pp. 1230-1248
    • Ho, P.C.1    Yim, J.Z.2
  • 10
    • 22144443524 scopus 로고    scopus 로고
    • Application of fuzzy inference system in the prediction of wave parameters
    • DOI 10.1016/j.oceaneng.2005.02.001, PII S0029801805000533
    • M.H. Kazeminezhad, A. Etemad-Shahidi, and S.J. Mousavi Application of fuzzy inference system in the prediction wave parameters Ocean Engineering 32 2005 1709 1725 (Pubitemid 40975346)
    • (2005) Ocean Engineering , vol.32 , Issue.14-15 , pp. 1709-1725
    • Kazeminezhad, M.H.1    Etemad-Shahidi, A.2    Mousavi, S.J.3
  • 11
    • 0344121593 scopus 로고    scopus 로고
    • Nonlinear model for drought forecasting based on a conjunction of wavelet transforms and neural networks
    • DOI 10.1061/(ASCE)1084-0699(2003)8:6(319)
    • T. Kim, and J.B. Valdes Nonlinear model for drought forecasting based on a conjunction of wavelet transforms and neural networks Journal of Hydrology Engineering 8 6 2003 319 328 (Pubitemid 37436445)
    • (2003) Journal of Hydrologic Engineering , vol.8 , Issue.6 , pp. 319-328
    • Kim, T.-W.1    Valdes, J.B.2
  • 12
    • 46749151701 scopus 로고    scopus 로고
    • Soft computing approach for real-time estimation of missing wave heights
    • S.N. Londhe Soft computing approach for real-time estimation of missing wave heights Ocean Engineering 35 2008 1080 1089
    • (2008) Ocean Engineering , vol.35 , pp. 1080-1089
    • Londhe, S.N.1
  • 13
    • 63649164524 scopus 로고    scopus 로고
    • Prediction of significant wave height using regressive support vector machines
    • J. Mahjoobi, and E.A. Mosabbeb Prediction of significant wave height using regressive support vector machines Ocean Engineering 36 5 2009 339 347
    • (2009) Ocean Engineering , vol.36 , Issue.5 , pp. 339-347
    • Mahjoobi, J.1    Mosabbeb, E.A.2
  • 15
    • 59949083332 scopus 로고    scopus 로고
    • An alternative approach for prediction of significant wave height based on classification and regression trees
    • J. Mahjoobi, and A. Etemad-Shahidi An alternative approach for prediction of significant wave height based on classification and regression trees Applied Ocean Research 30 2009 172 177
    • (2009) Applied Ocean Research , vol.30 , pp. 172-177
    • Mahjoobi, J.1    Etemad-Shahidi, A.2
  • 16
    • 1842843640 scopus 로고    scopus 로고
    • Improving wave predictions with artificial neural networks
    • DOI 10.1016/j.oceaneng.2003.05.003, PII S0029801803001641
    • O. Makarynskyy Improving wave predictions with artificial neural networks Ocean Engineering 31 2004 709 724 (Pubitemid 38485288)
    • (2004) Ocean Engineering , vol.31 , Issue.5-6 , pp. 709-724
    • Makarynskyy, O.1
  • 17
    • 15444363645 scopus 로고    scopus 로고
    • Artificial neural networks in wave predictions at the west coast of Portugal
    • DOI 10.1016/j.cageo.2004.10.005, PII S0098300404002158
    • O. Makarynskyy, A.A. Pires-Silva, D. Makarynskyy, and C. Ventura-Soares Artificial neural networks in wave predictions at the west coast of Portugal Computers & Geosciences 31 2005 415 424 (Pubitemid 40398139)
    • (2005) Computers and Geosciences , vol.31 , Issue.4 , pp. 415-424
    • Makarynskyy, O.1    Pires-Silva, A.A.2    Makarynska, D.3    Ventura-Soares, C.4
  • 18
    • 33244493086 scopus 로고    scopus 로고
    • Ocean wave forecasting using recurrent neural networks
    • DOI 10.1016/j.oceaneng.2005.08.007, PII S0029801805002301
    • S. Mandal, and N. Prabaharan Ocean wave forecasting using recurrent neural networks Ocean Engineering 33 2006 1401 1410 (Pubitemid 43280654)
    • (2006) Ocean Engineering , vol.33 , Issue.10 , pp. 1401-1410
    • Mandal, S.1    Prabaharan, N.2
  • 20
    • 38749142907 scopus 로고    scopus 로고
    • A combined neural-wavelet model for prediction of watershed precipitation, Ligvanchai, Iran
    • V. Nourani, M.T. Alami, and M.H. Aminfar A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation Engineering Applications of Artificial Intelligence 22 2009 466 472 (Pubitemid 351177465)
    • (2008) Journal of Environmental Hydrology , vol.16 , pp. 1-12
    • Nourani, V.1    Alami, M.T.2    Aminfar, M.H.3
  • 21
    • 33846668131 scopus 로고    scopus 로고
    • Prediction of wave parameters by using fuzzy logic approach
    • DOI 10.1016/j.oceaneng.2006.03.003, PII S0029801806001065
    • M. Ozger, and Z. Sen Prediction of wave parameters by fuzzy logic approach Ocean Engineering 34 2007 460 469 (Pubitemid 46196245)
    • (2007) Ocean Engineering , vol.34 , Issue.3-4 , pp. 460-469
    • Ozger, M.1    Sen, Z.2
  • 22
    • 1642386803 scopus 로고    scopus 로고
    • Statistical investigation expected wave energy and its reliability
    • M. Ozger, A. Altunkaynak, and Z. Sen Statistical investigation expected wave energy and its reliability Energy Conversion and Management 45 1314 2004 2173 2185
    • (2004) Energy Conversion and Management , vol.45 , Issue.1314 , pp. 2173-2185
    • Ozger, M.1    Altunkaynak, A.2    Sen, Z.3
  • 23
    • 34447527322 scopus 로고    scopus 로고
    • Wavelet and neuro-fuzzy conjunction model for precipitation forecasting
    • DOI 10.1016/j.jhydrol.2007.05.026, PII S0022169407003216
    • T. Partal, and O. Kisi Wavelet and neuro-fuzzy conjunction model for precipitation forecasting Journal of Hydrology 342 12 2007 199 212 (Pubitemid 47069364)
    • (2007) Journal of Hydrology , vol.342 , Issue.1-2 , pp. 199-212
    • Partal, T.1    Kisi, O.2
  • 25
    • 63449091453 scopus 로고    scopus 로고
    • Forecasting ocean wave energy: Tests of time series models
    • G. Reikard Forecasting ocean wave energy: tests of time series models Ocean Engineering 36 2009 348 356
    • (2009) Ocean Engineering , vol.36 , pp. 348-356
    • Reikard, G.1
  • 27
    • 0037036332 scopus 로고    scopus 로고
    • Neural network for wave forecasting among multi-stations
    • DOI 10.1016/S0029-8018(01)00112-3, PII S0029801801001123
    • C.P. Tsai, C. Lin, and J.N. Shen Neural network for wave forecasting among multi-stations Ocean Engineering 29 2002 1683 1695 (Pubitemid 34724947)
    • (2002) Ocean Engineering , vol.29 , Issue.13 , pp. 1683-1695
    • Tsai, C.-P.1    Lin, C.2    Shen, J.-N.3
  • 28
    • 3042810797 scopus 로고    scopus 로고
    • Prediction of monsoon rainfall and river discharge on 1530-day time scales
    • P.J. Webster, and C.D. Hoyos Prediction of monsoon rainfall and river discharge on 1530-day time scales Bulletin of the American Meteorological Society 85 11 2004 1745 1765
    • (2004) Bulletin of the American Meteorological Society , vol.85 , Issue.11 , pp. 1745-1765
    • Webster, P.J.1    Hoyos, C.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.