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Proceedings Paper

Rapid training of GIL neural networks
Author(s): Clark D. Jeffries; Peter Kiessler; Louis Ntasin
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Paper Abstract

Applying generalized inverse learning to a feedforward neural network has been shown to be an effective tool in pattern recognition. The difficult computational step is finding the pseudo-inverse of a matrix. In this paper, we develop an efficient method using differential equations to calculate the pseudo-inverse.

Paper Details

Date Published: 22 March 1999
PDF: 10 pages
Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); doi: 10.1117/12.342892
Show Author Affiliations
Clark D. Jeffries, IBM Corp. and Clemson Univ. (United States)
Peter Kiessler, Clemson Univ. (United States)
Louis Ntasin, Clemson Univ. (United States)


Published in SPIE Proceedings Vol. 3722:
Applications and Science of Computational Intelligence II
Kevin L. Priddy; Paul E. Keller; David B. Fogel; James C. Bezdek, Editor(s)

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