摘要
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．
The theory of fuzzy neural network(FNN) modeling for nonlinear systems is presented. The combination of the strength of fuzzy logic in neural networks is discussed and an example and its simulation are presented. Through analyzing the relations of fuzzy system rules a generalized identifying fuzzy system method by FNN with nolinear fuzzy relations is given and verified by the simulation.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
1996年第12期117-123,共7页
Journal of Shanghai Jiaotong University
关键词
模糊系统
神经网络
非线性系统辨识
fuzzy systems neural networks
nonlinear fuzzy relation
nonlinear system
