基于模糊神经网络的超视距空战战术决策研究  

A Tactical Decision Support System for BVR Air Combat Based on Neural Network

作　　者：李锋[1] 孙隆和[1] 佟明安[2] 

机构地区：[1]中国航空工业第六一三研究所,河南洛阳471009 [2]西北工业大学电子工程系,陕西西安710072

出　　处：《西北工业大学学报》2001年第2期317-322,共6页Journal of Northwestern Polytechnical University

摘　　要：超视距空战是随着飞机武器系统的发展而出现的一种新的空战方式。本文在借鉴国外先进系统设计思想的基础上 ,利用模糊神经网络进行自动战术决策研究。通过对典型情况的分析 ,表明网络能够针对空战输入的不确定信息进行正确决策 。With the rapid development of airborne weapon system, air combat beyond the visual range (BVR) will be the main mode of air combat in the future. In such air combat, the great amount of cockpit information makes it necesary to have a decision support system to help the pilot make tactical decision. In this paper, we present a fuzzy decision support system based on neural network. In Section 1, we devide the tactical decisions into 10 attack strategies and 5 defense strategies. In Section 2, we give the rules for fuzzy decision. Tables 2 through 5 show that the system can give correct tactical strategies under various conditions.

关 键 词：模糊神经网络 战术决策 超视距空战 

分 类 号：E844[军事—战术学] TP18[自动化与计算机技术—控制理论与控制工程]