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True parallel processing in artificial neural networks

Alejandro B. Engel (Department of Mathematics and Statistics, Rochester Institute of Technology, Rochester, New York, USA)

Kybernetes

ISSN: 0368-492X

Article publication date: 1 December 2001

336

Abstract

The area of artificial neural networks, which dates back to the early twentieth century, could only offer positive contributions to technology after the back‐propagation algorithm was proposed in 1986. In this note an alternative algorithm to the gradient descent used in back‐propagation is proposed. This algorithm is based on the discrete central difference. This procedure, as opposed to the back‐propagation algorithm, offers the possibility of true parallel computation.

Keywords

Citation

Engel, A.B. (2001), "True parallel processing in artificial neural networks", Kybernetes, Vol. 30 No. 9/10, pp. 1192-1198. https://doi.org/10.1108/03684920110405764

Publisher

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MCB UP Ltd

Copyright © 2001, MCB UP Limited

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