| 基于遗传算法优化的小波神经网络对船舶受扰力及力矩建模预报 |
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| 引用本文： | 赵希人,王显峰,唐慧妍,吴春秋.基于遗传算法优化的小波神经网络对船舶受扰力及力矩建模预报[J].船舶力学,2008,12(1):25-30. |
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| 作者姓名： | 赵希人 王显峰 唐慧妍 吴春秋 |
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| 作者单位： | 哈尔滨工程大学自动化学院,哈尔滨,150001;海军驻上海江南造船(集团)有限公司军事代表室,上海,200011 |
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| 摘 要： | 首先构造小波神经网络,建立船舶横向和纵向运动模型及其运动受扰力模型,采用小波神经网络对船舶受扰力建模预报,并用遗传算法对其进行优化,对预报结果进行分析比较,给出超前5秒、15秒的船舶运动受扰力与力矩预报结果.
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| 关 键 词： | 小波基 神经网络 遗传算法 建模 预报 |
| 文章编号： | 1007-7294（2008）01-0025-06 |
| 收稿时间： | 2007-06-18 |
| 修稿时间： | 2007年6月18日 |
Modeling and prediction of disturbing force and moment based on wavelet neural network optimized by GA |
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| ZHAO Xi-ren,WANG Xian-feng,TANG Hui-yan,WU Chun-qiu.Modeling and prediction of disturbing force and moment based on wavelet neural network optimized by GA[J].Journal of Ship Mechanics,2008,12(1):25-30. |
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| Authors: | ZHAO Xi-ren WANG Xian-feng TANG Hui-yan WU Chun-qiu |
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| Abstract: | 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. |
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| Keywords: | wavelet basis neural network genetic algorithm(GA) modeling prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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