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论述了模糊系统和神经网络相结合的非线性系统辨识理论．通过分析模糊系统规则之间的隐含关系，给出具有非线性模糊关系的模糊神经网络非线性系统辨识方法，并用仿真方法进行了验证．最后讨论了网络的稳定性和收敛性．
Discusses the fuzzy system and neural network combined nonlinear system identification theory. By analyzing the implicit relations between fuzzy system rules, a nonlinear system identification method based on fuzzy neural networks with nonlinear fuzzy relations is given and verified by simulation. Finally, the stability and convergence of the network are discussed.