ANALOG-DIGITAL SELF-LEARNING FUZZY SPIKING NEURAL NETWORK AND ITS LEARNING ALGORITHM BASED ON ‘WINNER-TAKES-MORE’ RULE

Ye. Bodyanskiy, A. Dolotov

Abstract


Analog-digital architecture of self-learning fuzzy spiking neural network is proposed in this paper.
Spiking neuron synapse and some are treated in terms of classical automatic control theory.
Conventional unsupervised learning algorithm of spiking neural network is improved by applying
‘Winner-Takes-More’ rule.

Keywords


analog-digital architecture, self-learning fuzzy spiking neural network, automatic control theory, unsupervised learning algorithm, ‘winner-takes-more’ rule.

GOST Style Citations






DOI: http://dx.doi.org/10.15588/1607-3274-2010-1-20



Copyright (c) 2014 Ye. Bodyanskiy, A. Dolotov

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