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基于GA的神经网络在火工药剂辨识中的应用
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中的应用[J].重庆邮电学院学报(自然科学版),2004,16(1):75-78.
作者姓名:孙忠华  王珏  刘荣
作者单位:[1]重庆大学自动化学院,重庆400044 [2]重庆大学光电信息及系统教育部重点实验室,重庆400044 [3]重庆通信学院机电系,重庆400035
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。实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:遗传算法  神经网络  火工药剂  辨识

Application of neural networks based on genetic algorithms to identification of loading materials for initiating explosive device
SUN Zhong-hua,WANG Jue,LIU Rong.Application of neural networks based on genetic algorithms to identification of loading materials for initiating explosive device[J].Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition),2004,16(1):75-78.
Authors:SUN Zhong-hua  WANG Jue  LIU Rong
Institution: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 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.
Keywords:genetic algorithms  neural networks  loading materials for initiating explosive device  identification
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