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Optical Engineering

Optical neural networks with terminal attractors for pattern recognition
Author(s): Xin Lin; Junji Ohtsubo
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Paper Abstract

The neural network system with terminal attractors is proposed for pattern recognition. By the introduction of the terminal attractors, the spurious states of the energy function in the Hopfield neural networks can be avoided and a unique solution with global minimum is obtained. The computer simulations show the usefulness of the method for pattern recognition. Based on the terminal attractor neural network, we proposed the optical neural network with the terminal attractor model. The results show that the recognition rate is considerably enhanced by the introduction of the terminal attractors.

Paper Details

Date Published: 1 August 1996
PDF: 8 pages
Opt. Eng. 35(8) doi: 10.1117/1.600795
Published in: Optical Engineering Volume 35, Issue 8
Show Author Affiliations
Xin Lin, Shizuoka Univ. (Japan)
Junji Ohtsubo, Shizuoka Univ. (Japan)

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