摘要
在分析了火炸药产品生产中压药过程特点的基础上,结合计算智能的相关理论,介绍了基于遗传算法的神经网络模型系统用于压药过程中药剂量的辨识。实验结果表明,该系统能够较好地满足压药过程中对药剂量的辨识要求。
Based on the analysis of the pressing procedure of loading materials for initiating explosive device and the cooperation of computing intelligent theories, an identification system of loading materials for initiating explosive device was developed with neural networks and genetic algorithms. Experiment results show that this system can satisfy the identification requirement of loading materials for initiating explosive device in the course of production.
出处
《微机发展》
2003年第8期3-5,共3页
Microcomputer Development
关键词
火炸药剂
辨识
神经网络
GA
遗传算法
genetic algorithms
neural networks
loading materials for initiating explosive device
identification
encoding
