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題名:Intelligent Ocean Wave Height Prediction System Using Light GBM Model
書刊名:International Journal of Systematic Innovation
作者:Jai Prakash MishraKulwant SinghHimanshu Chaudhary
出版日期:2022
卷期:7:3
頁次:頁64-77
主題關鍵詞:Sea wave heightLight GBMMachine learningForecastingWave variables
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
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  • 點閱點閱:5
期刊論文
1.Mahjoobi, J.、Etemad-Shahidi, A.(2008)。An alternative approach for the prediction of significant wave heights based on classification and regression trees。Applied Ocean Research,30(3),172-177。  new window
2.Altunkaynak, A.、Wang, K. H.(2012)。Estimation of significant wave height in shallow lakes using the expert system techniques。Expert Systems with Applications,39(3),2549-2559。  new window
3.Amin, A. E.(2013)。A novel classification model for cotton yarn quality based on trained neural network using genetic algorithm。Knowledge-Based Systems,39,124-132。  new window
4.Choi, H.、Park, M.、Son, G.、Jeong, J.、Park, J.、Mo, K.、Kang, P.(2020)。Real-time significant wave height estimation from raw ocean images based on 2D and 3D deep neural networks。Ocean Engineering,201。  new window
5.Cornejo-Bueno, L.、Nieto-Borge, J. C.、García-Díaz, P.、Rodríguez, G.、Salcedo-Sanz, S.(2016)。Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm--Extreme Learning Machine approach。Renewable Energy,97,380-389。  new window
6.Deo, M. C.、Jha, A.、Chaphekar, A. S.、Ravikant, K.(2001)。Neural networks for wave forecasting。Ocean engineering,28(7),889-898。  new window
7.Elbisy, M. S.、Elbisy, A. M.(2021)。Prediction of significant wave height by artificial neural networks and multiple additive regression trees。Ocean Engineering,230。  new window
8.Fan, S.、Xiao, N.、Dong, S.(2020)。A novel model to predict significant wave height based on long short-term memory network。Ocean Engineering,205。  new window
9.Gao, S.、Huang, J.、Li, Y.、Liu, G.、Bi, F.、Bai, Z.(2021)。A forecasting model for wave heights based on a long short-term memory neural network。Acta Oceanologica Sinica,40(1),62-69。  new window
10.Mahjoobi, J.、Mosabbeb, E. A.(2009)。Prediction of significant wave height using regressive support vector machines。Ocean Engineering,36(5),339-347。  new window
11.Malekmohamadi, I.、Bazargan-Lari, M. R.、Kerachian, R.、Nikoo, M. R.、Fallahnia, M.(2011)。Evaluating the efficacy of SVMs, BNs, ANNs and ANFIS in wave height prediction。Ocean Engineering,38(2/3),487-497。  new window
12.Nikoo, M. R.、Kerachian, R.、Alizadeh, M. R.(2018)。A fuzzy KNN-based model for significant wave height prediction in large lakes。Oceanologia,60(2),153-168。  new window
13.Nitsure, S. P.、Londhe, S. N.、Khare, K. C.(2012)。Wave forecasts using wind information and genetic programming。Ocean Engineering,54,61-69。  new window
14.Prahlada, R.、Deka, P. C.(2015)。Forecasting of time series significant wave height using wavelet decomposed neural network。Aquatic Procedia,4,540-547。  new window
15.Quach, B.、Glaser, Y.、Stopa, J. E.、Mouche, A. A.、Sadowski, P.(2020)。Deep learning for predicting significant wave height from synthetic aperture radar。IEEE Transactions on Geoscience and Remote Sensing,59(3),1859-1867。  new window
16.Sabatier, F.(2007)。U.S. Army Corps of Engineers, Coastal Engineering Manual (CEM), Engineer Manual 1110-2-1100: U.S. Army Corps of Engineers, Washington, D.C. (6 volumes)。Méditerranée: Revue géographique des pays méditerranéens,108,146。  new window
17.Son, G.、Choi, H.、Lee, J. H.、Kang, P.(2020)。Significant Wave Height Regression from a Raw Ocean Image with Convolutional LSTM and 3D Convolutional Networks。J. Korean Op. Res. Manag. Sci. Soc.,45,11-24。  new window
18.Wang, W.、Tang, R.、Li, C.、Liu, P.、Luo, L.(2018)。A BP neural network model optimized by mind evolutionary algorithm for predicting the ocean wave heights。Ocean Engineering,162,98-107。  new window
19.Wei, C. C.、Hsieh, C. J.(2018)。Using adjacent buoy information to predict wave heights of typhoons offshore of northeastern Taiwan。Water,10(12)。  new window
20.Yang, S.、Xia, T.、Zhang, Z.、Zheng, C.、Li, X.、Li, H.、Xu, J.(2019)。Prediction of significant wave heights based on CS-BP model in the south China sea。IEEE Access,7,147490-147500。  new window
21.Yoon, H.、Jun, S. C.、Hyun, Y.、Bae, G. O.、Lee, K. K.(2011)。A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer。Journal of hydrology,396(1/2),128-138。  new window
22.Zamani, A.、Solomatine, D.、Azimian, A.、Heemink, A.(2008)。Learning from data for wind-wave forecasting。Ocean engineering,35(10),953-962。  new window
23.Zhang, X.、Dai, H.(2019)。Significant wave height pre-diction with the CRBM-DBN model。Journal of Atmospheric and Oceanic Technology,36(3),333-351。  new window
24.Hashim, R.、Roy, C.、Motamedi, S.、Shamshirband, S.、Petković, D.(2016)。Selection of climatic parameters affecting wave height prediction using an enhanced Takagi-Sugeno-based fuzzy methodology。Renewable and Sustainable Energy Reviews,60,246-257。  new window
會議論文
1.Abhigna, P.、Jerritta, S.、Srinivasan, R.、Rajendran, V.(2017)。Analysis of feed forward and recurrent neural networks in predicting the significant wave height at the moored buoys in Bay of Bengal。IEEE。1856-1860。  new window
圖書
1.World Meteorological Organization(1998)。Guide to Wave Analysis & Forecasting。World Meteorological Organization。  new window
 
 
 
 
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