摘要
根据飞机作战效能的指标体系和集成神经网络的原理,提出了一种基于集成神经网络的飞机作战效能评估模型。模型由空对空作战效能评估神经网络、空对地作战效能评估神经网络和决策融合神经网络组成,当训练结束后,输入飞机的能力参数可得到飞机的单项和综合作战效能。最后用米格-29、F-15E和Su-20等三个机型作为评估的对象,结果表明该模型能有效减少评估中的人为因素及克服单神经网络结构的不足,使评估结果更为客观可信。
According to the index system of aircraft combat effectiveness assessment and the principles of integrated neural networks, a model of aircraft combat effectiveness assessment based on integrated neural networks is presented in this paper. The model includes three modules： air-to-air combat effectiveness assessment module, air-to-surface combat effectiveness assessment module and decision fusion, which are structured by neural networks. When the training precision reaches the requirement, the single or total combat effectiveness will be achieved via the parameters of aircraft capability. Taking Mig-29, F-15E and Su-20 for examples, the results shows that the model can limit the artificial factors and overcome the shortage of a single neural network effectively, making the solution more objective and creditable.
出处
《火力与指挥控制》
CSCD
北大核心
2007年第12期89-91,102,共4页
Fire Control & Command Control
关键词
集成神经网络
飞机作战效能评估
决策融合
integrated neural networks
aircraft combat effectiveness assessment
decision fusion
