Threat Assessment for Aerial Target Based on Fuzzy Neural Network
LUO YANCHUN GUO LIHONG JIANG XIAOLIAN SHAO LIYING(Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033) (Graduate School of Chinese Academy of Sciences, Beijing 100039,China) (Aviation University of Air Force, Changchun 130022)
A Fuzzy Neural Network (FNN) is used to threat assessment for Aerial Target. The design of network structure and its algorithm realization are described. As a FNN can be used without the exact model for an object and it can store information in a distribution manner. A nonlinear mapping can be realized by using topo-logical structures and weights of the neural network. Fuzzy rules are introduced in the neural network which gives these weights a definite meaning and reserves the training system of the neural network. These weights are trained through a improved BP algorithm. Result shows the validity of this method. This paper presents a new method for target threat assessment.
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