Armed helicopter Combat power Index Assessment based on BP Neural Network

2018 2nd International Conference on Artificial Intelligence Applications and Technologies

计算机科学

Dong, Ze-Wei^1 ; Liu, Xiao-Qin^1 ; Gao, Fu^1 ; Tang, Xiao-Chuan^1

Army Aviation Academy, Beijing

101123, China^1

关键词: Armed helicopter;    BP neural networks;    Combat power;    Evaluation modeling;    Evaluation results;    Training sample;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/435/1/012045/pdf
DOI  :  10.1088/1757-899X/435/1/012045

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

According to the use characteristics of armed helicopter in wartime, this paper analyzes and studies the influencing factors of combat power index of armed helicopter, and explains each factor. Based on BP neural network, the evaluation model of combat power index of armed helicopter is established. The BP neural network was trained with 30 groups of training samples determined by experts. The results show that the evaluation method of combat power index based on BP neural network is feasible and effective, reduces the subjective factors in the evaluation process, and makes the evaluation results more accurate and reliable.