Application of neural networks based on genetic algorithms to identification of loading materials for initiating explosive device
Sun Zhong-hua · Journal of Chongqing University of Posts and Telecommunications · 2004
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.