| 基于遗传算法的BP网络在导弹武器系统元器件贮存可靠性预测中的应用 |
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| 引用本文： | 马利,解江,续斌,张恒喜.基于遗传算法的BP网络在导弹武器系统元器件贮存可靠性预测中的应用[J].战术导弹技术,2008(2):41-45. |
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| 作者姓名： | 马利 解江 续斌 张恒喜 |
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| 作者单位： | 空军工程大学工程学院一系,陕西西安710038 |
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| 摘 要： | 针对目前BP神经网络在应用中,网络结构难以确定以及网络极易陷入局部解问题,用遗传算法优化神经网络的连接权和网络结构,并在遗传进化过程中引入交叉概率和变异概率与个体的适度值相联系,改进了操作算子,而且在交叉操作后又引入模拟退火机制,提高遗传算法的局部搜索能力.建立了基于改进遗传算法的BP网络贮存可靠性预测模型,并以某型导弹武器系统的元器件进行实例分析,计算结果表明,该方法预测的准确性高,且预测结果稳定.
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| 关 键 词： | 遗传算法 BP网络 模拟退火 贮存可靠性 预测 基于遗传算法 优化神经网络 导弹 武器系统 元器件贮存 可靠性预测模型 应用 Reliability Storage Forecast Improved Genetic Algorithm Based BP Neural Network 稳定 预测结果 方法 计算 实例分析 搜索能力 局部解 |
Application of BP Neural Network Based on the Improved Genetic Algorithm in Forecast of Storage Reliability |
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| Ma Li,Xie Jiang,Xu Bin,Zhang Hengxi.Application of BP Neural Network Based on the Improved Genetic Algorithm in Forecast of Storage Reliability[J].Tactical Missile Technology,2008(2):41-45. |
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| Authors: | Ma Li Xie Jiang Xu Bin Zhang Hengxi |
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| Affiliation: | Ma Li,Xie Jiang,Xu Bin,Zhang Hengxi(Engineering College,Air force Engineering University,Xi\'an 710038) |
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| Abstract: | In order to avoid drawbacks such as the difficultly deciding the BP network and easily falling into local solution in applying,the neural network and connection weights by means of improved genetic algorithm are optimized,and crossover probability and mutation probability decided by individual fitness are adopted,improved operators of simple genetic algorithm,and simulated annealing methods are introduced after crossover.Forecast of storage reliability model based on improved genetic algorithm and BP networ... |
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| Keywords: | genetic algorithm BP Neural Network simulated annealing storage reliability forecast |
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