火力与指挥控制2016，Vol.41Issue(4)：20-24,5.
基于BP神经化贝叶斯网络的空袭目标毁伤效果评估
Battle Damage Assessment of Air-raid Based on BP Neuralization Bayesian Network
摘要
Abstract
Aiming at the complex and diversity of battle damage factors of air-raid,and the existing shortage of a priori knowledge acquisition and network node restrictions when Bayesian network to assess,the assessment method based on the BP neutralization Bayesian network is brought out,which to solve the problem of the battle damage of air-raid. The influence factors of the battle damage of air-raid are analyzed,and the knowledge is showed,Analyzing the structure of bayesian network existing several defects when is dealing with multiple parent nodes,the network structure of battle damage assessment of air-raid based on BP neutralization Bayesian network is built. The method of decision-making of “BP neutralization module”is given out. The case through to analysis,and combining with the simulation with Netica,the accuracy of the assessment method is verified. There is a simple operation and good effectiveness.关键词
空袭作战/贝叶斯网络/BP神经网络/目标毁伤Key words
air-raid combat/bayesian network/BP neural network/battle damage分类
军事科技引用本文复制引用
周兴旺,从福仲,庞世春,侯满义,辛腾达..基于BP神经化贝叶斯网络的空袭目标毁伤效果评估[J].火力与指挥控制,2016,41(4):20-24,5.基金项目
国家自然科学基金资助项目 （）
