摘要
神经网络在协同空战决策领域有着非常好地运用的前景,本文引入威胁指数法来计算协同优先权,并将其作为神经网络的教师值.最后给出了仿真算例,计算结果表明,通过文中介绍的方法改进的协同优先权算法可以更有针对性地完成战术决策任务.
The neural network has good foreground in the field of air combat tactical decision. In the article, we introduce a method named intimidation exponent to work out pedagogue value, for making the training of the neural network get good pedagogue value. In the end, the article give the idiographic emulator, the end indicate that the new method may finish the assignment of tactical decision.
出处
《战术导弹技术》
北大核心
2007年第2期57-61,共5页
Tactical Missile Technology
关键词
神经网络
协同空战
多目标分配
威胁指数法
战术决策
neural network
cooperative air combat
multi-target distribution
a method of intimidation exponent
tactical decision
