A Learning Method of Fuzzy Classification Rules With Neural Networks

This paper describes a learning method of fuzzy classification rules with neural networks - supervised resonance competing learning （SRCL）. The input patterns are the data with class labels. The paper also describes a numerical example and analyzes the experiment results.