一类组合神经网络在协同空战分析中的应用

Application of a Type of Associated Neural Network in Cooperative Air-to-Air Combat Analysis

为了在恶劣、复杂的协同空战环境里帮助飞行员进行更有效的决策 ,在其指挥级 ,提出了一类有 /无教师组合神经网络—— BP-SOFM网络 ,并用它来完成目标分配和攻击排序。对于典型的 2 :4空战 ,给出了 BP-SOFM网络的结构 ,并探讨了各个子网的训练和测试方法 ,及该组合神经网络的使用方法。设计并实现了一个基于 BP-SOFM网络的多机协同空战仿真系统。仿真结果表明 。

In order to help pilots make more effective decisions in the adverse and complicated environment in the cooperative air to air combat, in its command hierarchy, we presented a type of associated neural network with/without teachers——BP SOFM network, and used it to complete the target distribution and the attacking sequence. Then, for typical 2 via 4 air to air combat, the subsection 1.1 gives the structure of the BP SOFM network, and studies the training and testing methods of each sub network. The subsection 1 2 discusses its using method. A multi fighter cooperative air to air combat simulation system based on BP SOFM network has been implemented, and simulation result given in section 2 shows that our system is effective.