Hopfield Neural Networks with Unbounded Monotone Activation Functions

For the Hopfield Neural Network problem we consider unbounded monotone nondecreasing activation functions. We prove convergence to zero in an exponential manner provided that we start with sufficiently small initial data.

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Bibliographic Details
Published in:Advances in artificial neural systems 2012-01, Vol.2012 (2012), p.1-5
Main Author: Tatar, Nasser-Eddine
Format: Article
Language:English
Subjects:
Activation
Convergence
Neural networks
Stochastic models
Studies
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Description
Summary:For the Hopfield Neural Network problem we consider unbounded monotone nondecreasing activation functions. We prove convergence to zero in an exponential manner provided that we start with sufficiently small initial data.
ISSN:1687-7594
1687-7608
DOI:10.1155/2012/571358