基于GA的神经网络在火工药剂辨识的应用

Application of Neural Networks Based on Genetic Algorithms to the Identifica-tion of Loading Materials for Initiating Explosive Device

在分析火工品压药模型的基础上,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火工品药柱剂量的辨识。试验结果表明,该系统能够较好地满足辨识火工品药柱剂量的要求。

Based on the analysis of the pressing model of loading materials for initiating explosive device and the co-operation 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.