Performance Evaluation of Force Combat Training Based on AHP and BP Neural Network

Abstract

In order to solve the problem of low accuracy and low efficiency of the actual combat training performance evaluation of the troops, a performance evaluation model of actual combat training based on AHP and BP neural network is proposed. AHP is used to establish a three-layer evaluation model, an indicator system is established, and the weights of each indicator are calculated and determined. The weights determined by AHP are used to score the actual combat training results of the troops, and ten sets of data are obtained for training BP neural network and evaluation, by calculating the relative error between the evaluation value and the real value, proves that the performance evaluation model of the actual combat training based on AHP and BP neural network effectively improves the accuracy and efficiency of the actual training performance evaluation, and has strong practical value.