ADAPTIVE NEURO-FUZZY KOHONEN’S NETWORK

Authors

  • B. V. Kolchigin
  • V. V. Volkova
  • E. V. Bodianskiy

DOI:

https://doi.org/10.15588/1607-3274-2011-1-18

Keywords:

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

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.

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Published

2011-08-12

How to Cite

Kolchigin, B. V., Volkova, V. V., & Bodianskiy, E. V. (2011). ADAPTIVE NEURO-FUZZY KOHONEN’S NETWORK. Radio Electronics, Computer Science, Control, (1). https://doi.org/10.15588/1607-3274-2011-1-18

Issue

No. 1 (2011): Radio Electronics, Computer Science, Control

Section

Neuroinformatics and intelligent systems

License

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

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