Study of The Threat Assessment Model for Air Raid Targets Based on RBF Neural Network

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.