The Modeling of Fuzzy ART Neural Network Based on Self-defined Closeness Degree and Its Application

摘要

This paper defines and proves a new closeness degree firstly, and then presents an improved-CFART neural network model, after introducing the closeness degree into the standard fuzzy ART model. This paper also develops an information analysis and simulation system based on the recognition of industrial real-time data from field. The results of simulation experiments demonstrate that the CFART model has excellent capability of pattern recognition for dynamic waveform.