第七章的模糊神经网络解耦MATLAB程序 例7.3 用隶属函数型神经网与模糊控制融合的解耦程序（FLch7FNNeg3.m） 是侯媛彬和汪梅的系统辨识课本上第七章的的实验。 -Chapter VII of the fuzzy neural network decoupling Example 7.3 with the MATLAB program membership function neural network and fuzzy control integration of t

动态模糊神经网络应用中的非线性系统辨识的源程序代码，希望有用处啊！-Dynamic fuzzy neural network applications in nonlinear system identification of the source code useful!

采用遗传算法对模糊RBF神经网络进行优化，并用于非线性系统辨识。-The genetic algorithm optimized fuzzy RBF neural network for nonlinear system identification.

任意维输入，自定义输出维数的SOFCMAC（自组织模糊小脑神经网络），实际上是一种将Kohonen网络的思想用于模糊CMAC的方法。参考文献是自组织模糊CMAC神经网络及其非线性系统辨识_王源。-SOFCMAC (self organizing fuzzy cerebellar neural network) with arbitrary dimension input, which is actually a kind of method for fuzzy CMAC with Kohonen