Study on the Identification of Loading Materials for Initiating Explosive Device
Yong Wang, Jianfu Li · 2006
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