基于概率神经网络的编队协同防空威胁评估

Threat Evaluation of Formation Cooperative Air Defense Based on Probabilistic Neural Network

为了有效地进行防空作战部署,确保重点目标不受或少受损失,以防空作战实际需要为出发点,针对目前多平台协同防空作战中目标威胁评估问题普遍存在的不足,从舰艇编队的整体角度出发,运用概率神经网络的方法,建立了编队协同防空目标威胁评估问题的数学模型,给指挥员提供了正确决策。通过实例验证,证明了该模型的有效性和正确性。

To hold effectively the deployment of air defense operation and insure impunity of important targets or avoid losses, with actual needs of air defense operation as a starting point, based on the shortages of current targets threat evaluation in corporative air defense operation of multiple platforms, probabilistie neural network method is applied to built the mathematic model of formation cooperative air defense targets threat evaluation problem from the view point of the whole information, which provides accurate decision for commander . The usefulness and the accuracy of the model are proved by the example.