徐廷学,杨继坤,韩朝,王秋彦.基于BP神经网络的导弹环境适应性评估及对策[J].装备环境工程,2012,9(3):86-89. XU Ting-xue,YANG Ji-Kun,HAN Zhao,WANG Qiu-yan.Evaluation of Missile Environmental Worthiness and Countermeasure Based on BP Neural Network[J].Equipment Environmental Engineering,2012,9(3):86-89. |
基于BP神经网络的导弹环境适应性评估及对策 |
Evaluation of Missile Environmental Worthiness and Countermeasure Based on BP Neural Network |
投稿时间:2011-12-27 修订日期:2012-06-15 |
DOI: |
中文关键词: 环境适应性 BP神经网络 导弹 对策 |
英文关键词:environmental worthiness BP neural network missile strategy |
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中文摘要: |
论述了转型期海军战术导弹开展环境适应性研究的必要性和紧迫性, 分析了环境因素的影响。选取典型型号的海军战术导弹为研究对象, 给出了8种严重影响导弹的环境适应性因子。结合BP神经网络算法建立了环境适应性模型, 并对环境适应性水平进行了仿真评估分析。仿真结果表明, 该模型具有良好的评估效用。根据仿真结果, 针对不同时期的导弹提出了相应的环境适应性对策。 |
英文摘要: |
The necessity and urgency of environmental worthiness research on naval tactical missile were discussed. The influences of environmental factors were introduced. Typical model missiles were chosen as study objects. Eight environmental factors influencing missile environmental worthiness were proposed. BP neural network was used for establishing environmental worthiness model, and the environmental worthiness level was evaluated based on the model. Simulation result showed that the environmental worthiness model is simple and effective. According to simulation, several advices of missile environmental worthiness were presented. |
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