Optimal Design of System Efficiency Parameters about Terminal-Sensitive-Projectiles Based on Grey Theory and Genetic Algorithm
Terminal-Sensitive-Projectile (TSP) is a new type of advanced ammunition with complex structure and various affecting factors, the overall optimal design of the TSP system is thusly a difficulty work. This paper proposed the forecast model for the hit ratio of TSP system based on hybrid neural network. Firstly, the Grey neural network was constructed. Given the small sample prediction network would easily fall into local extreme, in this paper, furthermore, genetic algorithm was adopted to optimize the networks weights and threshold value. Ultimately, the optimal arrangement of six main factors affecting the system efficiency was obtained by MATLAB programming. The result of this paper would provide a new and scientific foundation for the further efficiency research of TSP system.
Fenghua HUANG Rongzhong LIU Rui GUO
ZNDY of Ministerial Key Laboratory, NUST, Jiangsu, China
国际会议
The 4th International Conference on Mechanical Engineering and Mechanics(第四届国际机械工程与力学会议)
苏州
英文
547-551
2011-08-11（万方平台首次上网日期，不代表论文的发表时间）