Structural Optimization of Machine-Gun Mount Based on BP Neural Networks and Genetic Algorithms

PDF(1107 KB)

Journal of Vibration and Shock ›› 2011, Vol. 30 ›› Issue (1) : 142-144.

论文

Structural Optimization of Machine-Gun Mount Based on BP Neural Networks and Genetic Algorithms

Zhang Ben-jun; Wang Rui-lin; Li Yong-jian; Li Zhi-yong

Author information +

History +

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.

Key words

BP neural networks / genetic algorithms / machine-gun mount / structural optimization

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

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[J]. Journal of Vibration and Shock, 2011, 30(1): 142-144