基于CMAC的模糊神经网络方法

Fuzzy neural network method based on a cerebellum model articulation controller

结合模糊神经网络和小脑模型连接控制CMAC理论,提出训练时间短、精度高的CMAC模糊神经网络方法,给出了网络结构、算法,并通过一个维修经费预测实例讲述了这种算法.

A CMAC fuzzy neural network method is presented in combination with the theory of the fuzzy neural network and cerebellum model articulation controller. The network structure and algorithm are given. Finally, an example of forecasting maintenance cost is taken to describe this algorithm. The network functions such as self\|organization, self\|learning, and so on are good.