摘要
为了辅助作战指挥员对空袭目标威胁程度做出正确判断,对作战提供正确决策,将径向基函数(RBF)神经网络应用于防空指挥控制系统中,给出了涉及空袭目标威胁评估的因素及其数学模型,建立了基于RBF神经网络的空袭目标威胁评估算法。同时,通过专家给出的训练样本在Matlab环境下对该模型进行了仿真计算,结果表明该模型方法评估结果准确、快速。
In order to assist the operation commander to correctly judge the threaten degree of the air raid targets and provide the correct decision for operation,this paper applies the radial basis function（RBF） neural network to the air defense command and control system,and gives some factors and their maths models relating to the threat assessment for air raid targets,builds up the threat assessment algorithm for air raid targets based on RBF neural network.At the same time this paper performs simulation and calculation to the model under the Matlab environment by means of the training specimen provided by the specialists,the result indicates that the assessment result of the model method is accurate and fast.
出处
《舰船电子对抗》
2010年第6期85-88,共4页
Shipboard Electronic Countermeasure
