A Supervised Fuzzy ART Neural Network for Pattern Classification

A new neural network model that incorporates a supervised mechanism into a fuzzy ART is investigated. The model can cope with supervised learning and unsupervised learning simultaneously, and has the ability of incremental learning. A few experiments of bearing pattern classification prove pefformance of the model and by comparing pefformance of the model with BP model. The results of experiments indicate tha the model has the ability of pattem classification and flexibility.