会议专题

Study on the Identification of Loading Materials for Initiating Explosive Device

Neural network(NN) design is a key issue in the study of artificial neural networks. The use of genetic algorithm in searching the best hidden neurons makes the structural modular neural network less likely to be trapped in local minima than the traditional gradient-based search algorithms. Based on the analyses 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 is developed on neural networks with genetic algorithms. Emphatically the experiment results show the identification requirement of loading materials for initiating explosive device can be satisfied in this system.

Yong Wang Jianfu Li

Department of Computer Chongqing Education College Chongqing, 400067, China

国际会议

2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

广西桂林

英文

2030-2033

2006-06-25(万方平台首次上网日期,不代表论文的发表时间)