Adaptive learning of fuzzy BSB and GBSB neural models

Authors:
Ye. V. Bodyanskiy;N. A. Teslenko
Affiliations:
Kharkov National University of Radio Electronics, Ukraine;Kharkov National University of Radio Electronics, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2006

Citing 11
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Abstract

This article deals with a special class of neural autoassociative memory, namely, with fuzzy BSB and GBSB models and their learning algorithms. These models defined on a hypercube solve the problem of fuzzy clusterization of a data array owing to the fact that the vertices of the hypercube act as point attractors. A membership function is introduced that allows one to classify data that belong to overlapping clusters.