Paper
22 March 1999 Rapid training of GIL neural networks
Clark D. Jeffries, Peter Kiessler, Louis Ntasin
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Clark D. Jeffries, Peter Kiessler, and Louis Ntasin "Rapid training of GIL neural networks", Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); https://doi.org/10.1117/12.342892
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KEYWORDS
Neural networks

Differential equations

Matrices

Pattern recognition

Aluminum

Network architectures

Dynamical systems

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