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基于BP网络和遗传算法的枪架结构优化
引用本文:张本军,王瑞林,李永建,李志勇. 基于BP网络和遗传算法的枪架结构优化[J]. 振动与冲击, 2011, 30(1): 142-144. DOI:  
作者姓名:张本军  王瑞林  李永建  李志勇
作者单位:军械工程学院,河北 石家庄 050003
摘    要:为提高机枪的射击精度,需要对机枪枪架的结构参数进行优化设计。基于CAE软件的结构优化有其自身的局限性,所以提出了一种新的优化方法,即联合应用BP网络和遗传算法。本文以此为基础,根据机枪有限元模型,对枪架结构参数进行了优化设计,结果表明:BP网络和遗传算法相结合的方式可适用于多设计变量的枪架参数优化设计,为其它复杂结构的参数优化提供了新的思路。

关 键 词:BP网络   遗传算法   枪架   结构优化   
收稿时间:2009-06-12
修稿时间:2009-10-31

Structural optimization for a machine-gun mount based on BP neural network and genetic algorithm
ZHANG Ben-jun,WANG Rui-lin,LI Yong-jian,LI Zhi-yong. Structural optimization for a machine-gun mount based on BP neural network and genetic algorithm[J]. Journal of Vibration and Shock, 2011, 30(1): 142-144. DOI:  
Authors:ZHANG Ben-jun  WANG Rui-lin  LI Yong-jian  LI Zhi-yong
Affiliation:Ordnance Engineering College, Shijiazhuang 050003, Hebei, China
Abstract:The structure of a machine-gun mount should be optimized to improve its firing accuracy.There was some limitation in structural optimization based on CAE software,so a new method combining BP neural network with genetic algorithm was presented.The structure of a machine-gun mount was optimized here based on this method and the FE model of the machine gun.The result showed that the new method can be used in multi-variable machine-gun mount's optimization,and it supplies a new apporach for other complex struc...
Keywords:BP neural network  genetic algorithm  machine-gun mount  structural optimization  
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