A Neural Network Expert System Applied in the Simulation of Efficiency of A-A Gun Systems

Wu Huizhong;Wang Fang;Deng Xiaojin

Acta Armamentarii ›› 1995, Vol. 16 ›› Issue (4) : 28-32. DOI: 10.3969/j.issn.1000-1093.1995.04.007
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A Neural Network Expert System Applied in the Simulation of Efficiency of A-A Gun Systems

  • Wu Huizhong, Wang Fang, Deng Xiaojin
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Abstract

The essential problem of computer simulation for airdefence system is to determine the effect of gun performance parameters on the operations efficiency according to antagonistic environments. A neural network based intelligent evaluation and decision method and an optimal learning rate OBP algorithm are presented. A neural network expert system for the simulation of. efficiency of airdefence gun systems is constructed. The feasibility of this system is tested and verfied by experiments based on a gun system.

Key words

gun system / efficiency simulation / neural network / expert system

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Wu Huizhong, Wang Fang, Deng Xiaojin. A Neural Network Expert System Applied in the Simulation of Efficiency of A-A Gun Systems. Acta Armamentarii. 1995, 16(4): 28-32 https://doi.org/10.3969/j.issn.1000-1093.1995.04.007

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