摘要
采用遗传算法和BP神经网络相结合的方法,对人工神经网络的连接权值和神经元阈值进行优化搜索。该方法用于固体推进剂燃速相关性研究,计算结果表明其泛化能力强,预估精度高。
Optimization based on the combination of genetic algorithm and BP neural network was executed on the neural network threshold and weights values. This optimization method was used in the burning rate relativity investigation getting results which demonstrates its high capacity and accurateness,
出处
《弹箭与制导学报》
CSCD
北大核心
2006年第1期144-146,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
国防重点实验室基金项目(51470020103HT4201)
关键词
推进剂燃速
相关特性
BP算法
遗传算法
propellant burning rate
correlation property
BP algorithm
genetic algorithm
