Abstract:

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. Downloads PDF (Українська) 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 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX 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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