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基于GA的神经网络在火工药剂辨识的应用
引用本文:孙忠华,王珏,刘荣. 基于GA的神经网络在火工药剂辨识的应用[J]. 自动化与仪表, 2003, 18(6): 1-5
作者姓名:孙忠华  王珏  刘荣
作者单位:1. 上海水产大学海洋学院电子电工教研室,200090
2. 重庆大学,光电信息及系统教育部重点实验室,重庆,400044
3. 重庆通信学院,重庆,400035
基金项目:航天部部管工艺研究课题(42.2/940692-02)
摘    要: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。

关 键 词:神经网络 模型 遗传算法 火工药剂 辨识 编码
文章编号:1001-9944(2003)06-0001-05
修稿时间:2003-03-06

Application of Neural Networks Based on Genetic Algorithms to the Identification of Loading Materials for Initiating Explosive Device
SUN Zhong?hua ,WANG Jue ,LIU Rong. Application of Neural Networks Based on Genetic Algorithms to the Identification of Loading Materials for Initiating Explosive Device[J]. Automation and Instrumentation, 2003, 18(6): 1-5
Authors:SUN Zhong?hua   WANG Jue   LIU Rong
Affiliation:SUN Zhong?hua 1,WANG Jue 2,LIU Rong 3
Abstract: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.
Keywords:neural networks  model  genetic algorithms  loading materials for initiating explosive device  identification  encoding
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