An Adaptive Fuzzy Neural Network for Identification of the Complicated Noulinear System
一种用于非线性复杂系统辨识的自适应模糊神经网络

This paper presents a compound neural network model, i.e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system. AFNN has a simple structure and possesses the ability of universal approximation. It is capable of overcoming the error of system identification due to the existence of some changing points and improving the accuracy of identification of the whole system. The effectiveness of the model is tested on the identification result of missile attacking area.