Evaluation of Effectiveness of Integrated Individual Soldier Combat System Based on Combined-training Neural Network

摘要：

To evaluate the effectiveness of integrated individual soldier combat system, this article analyzed the factors that influence the combat effectiveness, built up an architecture of its performance indexes, and introduced the method of a combined-training neural network which is combined with genetic algorithm and BP neural network. Compared with the solution of Analytic Hierarchy Process (AHP) evaluation, The result shows that evaluating the integrated individual soldier combat systems effectiveness by this neural network can greatly surmount the influences of artificial factors and fuzzy randomness, and the solution is more reasonable and credible.

关键词： effectiveness Integrated Individual Soldier Combat System genetic algorithm BP neural network

作者: Zhang Jianyu Wang Ruilin

作者单位: Department of guns engineering, Shijiazhuang Mechanical Engineering College, Shijiazhuang, Hebei Province, China, 050003

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）