Target Threat Assessment Based on Improved RBF Neural Network
In order to solve the problem of threat assessment of informational armored unit,an improved neural network is designed,which based on the feature of fast and only best approximation.This RBF neural network can adjust the weight of assessment index according to different patterns of operations,and can effectively assess the operations target of informational armored unit.Example analysis shows that the improved method can satisfy the requirements of target threat assessment of different operation patterns and has higher practical value.
Threat assessment Operation patterns RBF neural network Assessment index
Kehu Xu Depeng Kong Jinyu Chen
Department of Control Engineering,Academy of Armored Force Engineering,PLA No 21,Dujiakan,Fengtai,Beijing,China
国际会议
The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)
福州
英文
559-566
2015-05-08（万方平台首次上网日期，不代表论文的发表时间）