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Hopfield Neural Networks with Unbounded Monotone Activation Functions

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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advances in Artificial Neural Systems Hindawi Publishing Corporation

Hopfield Neural Networks with Unbounded Monotone Activation Functions

Tatar, Nasser-eddine
Advances in Artificial Neural Systems , Volume 2012 (2012) – Dec 31, 2012
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Publisher
Hindawi Publishing Corporation
Copyright
Copyright © 2012 Nasser-eddine Tatar.
ISSN
1687-7594
eISSN
1687-7608
Publisher site
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Abstract

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.

Journal

Advances in Artificial Neural Systems – Hindawi Publishing Corporation

Published: Dec 31, 2012

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