Evaluation of effectiveness of integrated individual soldier combat system based on combined-training neural network

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 system effectiveness by this neural network can greatly surmount the influences of artificial factors and fuzzy randomness, and the solution is more reasonable and credible.