A Model of Threat Assessment based on Discrete Hopfield Neural Network

A model of air strike target threat assessment based on discrete Hopfield neural network (DHNN) was proposed. Analytic hierarchy process (AHP) was presented to obtain threat index weight. All neurons in the neural network were divided into a certain number of groups according to threat index weight. Each group of neurons corresponded to one threat index, and the problem of how to express weight in the neural network was solved. Target threat levels were given by DHNN according to target patterns. An example shows that neural network has real-time ability and is able to obtain real threat levels