Study on the Effectiveness Evaluation of the Weapon Equipment Based on Artificial Neural Network

Abstract

A new approach to weapons and equipment effectiveness evaluation based on artificial neural network (ANN) performs better than traditional method, which is in view of the complex relationship between the effectiveness and many factors that influence the evaluation. The structure and learning algorithm of BP neural network is evaluated the fighters’ air-to-air combat capability. The evaluation is accomplished by a two-layer BP neural network and MATLAB toolbox. The simulation results show that the artificial neural network have better generalization ability and approximation performance for continuous function, which is valuable in weapons and equipment effectiveness evaluation application.

A Method for Evaluating Efficiency of Electronic Equipment with Environmental Impact

“…Efficiency is a basic index to evaluate equipment. Several methods are applied for evaluating efficiency of equipment [7][8], which ignore environmental impact, making the result of evaluation ideal but untruthful.…”