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Nonlinear Processing in Artificial Synapses

Nonlinear Processing in Artificial Synapses Analyses the possibility of allowing nonlinear synaptic processing in Artificial Neural Networks ANN both theoretically and practically. The simple computer simulations described strongly suggest that this is a viable alternative, and preferable to ANN with just linear synapses, because of the savings in hardware fewer components are needed and software reduction in training time when dealing with similar problems. Derives some considerations regarding a possible relationship between the parallel processor proposed and living nerve cells. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

Nonlinear Processing in Artificial Synapses

Kybernetes , Volume 21 (1): 11 – Jan 1, 1992

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0368-492X
DOI
10.1108/eb005916
Publisher site
See Article on Publisher Site

Abstract

Analyses the possibility of allowing nonlinear synaptic processing in Artificial Neural Networks ANN both theoretically and practically. The simple computer simulations described strongly suggest that this is a viable alternative, and preferable to ANN with just linear synapses, because of the savings in hardware fewer components are needed and software reduction in training time when dealing with similar problems. Derives some considerations regarding a possible relationship between the parallel processor proposed and living nerve cells.

Journal

KybernetesEmerald Publishing

Published: Jan 1, 1992

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