ADAPTIVE NEURO-FUZZY KOHONEN’S NETWORK

B. V. Kolchigin, V. V. Volkova, E. V. Bodianskiy

Abstract


Recurrent learning algorithm for compartmental adaptive fuzzy Kohonen clustering network is proposed. The algorithm is generalization of WTA and WTM concepts and Kashyap- Blaydon and Tsypkin learning algorithms and also combines probabilistic and possibilistic clustering methods.

Keywords


clustering, neuro-fuzzy network, self-learning algorithm, self-organizing Kohonen map.

GOST Style Citations






DOI: http://dx.doi.org/10.15588/1607-3274-2011-1-18



Copyright (c) 2014 B. V. Kolchigin, V. V. Volkova, E. V. Bodianskiy

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