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Proceedings Paper

Solution of a linear system using a neural network based on iterative techniques
Author(s): Heriberto Jose Delgado; Laurene V. Fausett
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Paper Abstract

A neural network is presented for solving a general linear system using an approach that is similar to successive over relaxation (SOR). The network is trained to find the appropriate relaxation parameter. A derivation of the algorithm and its relation to the SOR algorithm is given. The performance of the standard SOR and Jacobi methods are compared with the neural network for two sample problems.

Paper Details

Date Published: 6 April 1995
PDF: 12 pages
Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205193
Show Author Affiliations
Heriberto Jose Delgado, Florida Institute of Technology (United States)
Laurene V. Fausett, Florida Institute of Technology (United States)

Published in SPIE Proceedings Vol. 2492:
Applications and Science of Artificial Neural Networks
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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