Research of grinding process fuzzy neural network system based on fuzzy logic

Abstract

This paper, taking grinding control for example, combines the advantages of fuzzy control and neural network technology, proposes a fuzzy neural network structure based on fuzzy logic rule. Based on fuzzy logic, we give a method in which fuzzy logic can be converted into an equivalent fuzzy neural network. We discuss the network layers structure and derivation process of the algorithm in detail. The simulation results demonstrate the feasibility of the fuzzy neural network. Experiments show that this method are satisfactory, of which the error rate is low, and has a good practical value.