| 基于支持向量机和遗传算法的末敏弹系统效能参数优化设计 |
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| 引用本文： | 姜礼平,张绪春,王平.基于支持向量机和遗传算法的末敏弹系统效能参数优化设计[J].海军工程大学学报,2007,19(1):32-34. |
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| 作者姓名： | 姜礼平 张绪春 王平 |
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| 作者单位： | 1. 海军工程大学,理学院,武汉,430033
2. 海军工程大学,管理工程系,武汉,430033 |
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| 摘 要： | 末敏弹是一种先进的新型弹药,由于其结构复杂,影响因素多,所以对其进行全面的系统优化设计比较困难。文中探讨了基于支持向量机的末敏弹命中概率预报模型的建模方法,并采用遗传算法对系统效能参数进行了优化,获得了影响系统效能的几个主要因素的合理搭配,为末敏弹的系统效能研究提供了依据。
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| 关 键 词： | 末敏弹 支持向量机 遗传算法 预测 效能分析 |
| 文章编号： | 1009-3486(2007)01-0032-03 |
| 修稿时间： | 2006年8月4日 |
Optimal design of system efficiency parameters about terminal-sensitive projectiles based on support vector machine and genetic algorithm |
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| JIANG Li-ping,ZHANG Xu-chun,WANG Ping.Optimal design of system efficiency parameters about terminal-sensitive projectiles based on support vector machine and genetic algorithm[J].Journal of Naval University of Engineering,2007,19(1):32-34. |
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| Authors: | JIANG Li-ping ZHANG Xu-chun WANG Ping |
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| Abstract: | Terminal-sensitive projectile(TSP) is an advanced new-type of ammunition.Because of its complex structure and various influencing factors,the overall optimal design of the TSP system is very difficult.The method for the hit ratio of TSP forecast modeling based on support vector machine is discussed.On this basis,using genetic algorithm,an optimal design of the forecast modeling based on support vector machine is carried out.From it an optimal arrangement of several main factors affecting the system efficiency is obtained.This method can provide a scientific foundation for the future efficiency research of TSP systems. |
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| Keywords: | terminal-sensitive projectiles support vector machine genetic algorithm prediction efficiency evaluation |
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