Improvement of Recognition Performance for the Fuzzy ARTMAP Using Average Learning and Slow Learning

Jae Sul LEE  Chan Geun YOON  Choong Woong LEE  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E81-A       pp.514-516
Publication Date: 1998/03/25
Online ISSN: 
Print ISSN: 0916-8508
Type of Manuscript: Category: Neural Networks
fuzzy ARTMAP,  pattern recognition,  average learning,   slow learning,  weight vector,  

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A new learning method is proposed to enhance the performances of the fuzzy ARTMAP neural network in the noisy environment. It combines the average learning and slow learning for the weight vectors in the fuzzy ARTMAP. It effectively reduces a category proliferation problem and enhances recognition performance for noisy input patterns.