| 基于BP神经网络和遗传算法的扫雷参数优化 |
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| 引用本文： | 孟晶,李庆民.基于BP神经网络和遗传算法的扫雷参数优化[J].水雷战与舰船防护,2011(2). |
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| 作者姓名： | 孟晶 李庆民 |
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| 作者单位： | 海军工程大学兵器工程系; |
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| 摘 要： | 针对扫雷作战仿真中的参数优化问题,论述了BP神经网络和遗传算法在扫雷参数优化中的应用。首先对某作战背景下的扫雷作战效能进行了详细分析,给出了雷区清扫率的计算方法;然后利用BP神经网络建立了扫雷参数与雷区清扫率之间的数学模型;最后通过遗传算法对扫雷参数进行优化研究。研究结果表明,该方法能够较精确地建立扫雷作战效能模型,并能快速搜索到最优扫雷参数组合条件。
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| 关 键 词： | 扫雷 效能 BP神经网络 遗传算法 均匀设计 |
Minesweeping Parameter Optimization Based on BP Neural Network and Genetic Algorithm |
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| Meng Jing,Li Qingmin.Minesweeping Parameter Optimization Based on BP Neural Network and Genetic Algorithm[J].Mine Warfare & Ship Self-Defence,2011(2). |
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| Authors: | Meng Jing Li Qingmin |
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| Affiliation: | Meng Jing,Li Qingmin (Department of Weaponry Engineering,Naval University of Engineering,Wuhan 430033,China) |
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| Abstract: | In view of parameter optimization in minesweeping simulation,a parameter optimization method based on BP neural network and genetic algorithm is proposed in this paper.Firstly the minesweeping efficiency in a certain combat situation is discussed in detail with the calculation method of minesweeping rate proposed.And then the model between minesweeping parameters and minesweeping rate is established based on BP neural network.At last,minesweeping parameter optimization algorithm based on genetic algorithm i... |
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| Keywords: | minesweeping efficiency BP neural network genetic algorithm uniform design |
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