Abstract: The structural of machine-gun mount should be optimized to improve firing accuracy. There is some limitation in structural optimization based on CAE software, so a new method that combines BP neural networks with genetic algorithms is presented. The structural of machine-gun mount is optimized in this paper based on the method and finite element of machine gun. The result shows that the new method can be used in multi- variables of machine-gun mount’s optimization, and it supplies a new method for other complex structure’s optimization.
张本军;王瑞林;李永建;李志勇. 基于BP网络和遗传算法的枪架结构优化[J]. , 2011, 30(1): 142-144.
Zhang Ben-jun;Wang Rui-lin;Li Yong-jian;Li Zhi-yong. Structural Optimization of Machine-Gun Mount Based on BP Neural Networks and Genetic Algorithms. , 2011, 30(1): 142-144.