Determining Structure and Parameters of Fuzzy Neural Network
一种模糊神经网络的结构和参数的确定方法

An effective method to determine the structure and parameters of fuzzy neural network model was proposed,combining Fuzzy Grid Partition(FGP) with Fuzzy Neural Networks(FNN).First,from sample data,we could determine the optimal rules using FGP,thereby determine the structure of neural network.Then adjusted the neural network by Back-Propagation(BP) algorithm,so the parameters of fuzzy neural network were determined.Finally,this method was used to construct the fuzzy model of economic growth of China.The research result shows that this fuzzy neural network constructed by this method has higher precision.