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《Journal of Ship Mechanics》 2008-01
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Modeling and prediction of disturbing force and moment based on wavelet neural network optimized by GA

ZHAO Xi-ren 1,WANG Xian-feng 1,TANG Hui-yan 1,WU Chun-qiu 2 (1 Automation Institute,Harbin Engineering University,Harbin 150001,China; 2 Navy Garrison Jiangnan Shipyard(Group) CO.,LTD Military Delegation,Shanghai 200011)  
Firstly,the neural network with wavelet basis was built,the model of ship lateral motion and wave disturbing force and moment was established.Using wavelet neural network to predict ship cross direction exciting force,and the prediction model was optimized by genetic algorithm(GA).Finally,the simulation of leading 5-15s prediction results and the conclusion by analyzing the results were given.
【Fund】: 国防科学技术委员会基础研究基金资助项目(41314020201)
【CateGory Index】: TP183
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