Learning method for fuzzy ARTMAP in a noisy environment
J.S. Lee, Chealho YOON, C.W. Lee · Electronics Letters · 1998
A new learning method is proposed to enhance the performances of fuzzy adaptive resonance theory-predictive mapping (ARTMAP) neural networks in a noisy environment. It combines the average learning and slow learning for the weight vectors in fuzzy ARTMAP. It effectively reduces a category proliferation problem, and enhances recognition performance for noisy input patterns.