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Proceedings Paper

Electro-Optical Implementations Of Programmable Quadratic Neural Networks
Author(s): S H Lin; T F Krile; E J Boc hove; J F Walkup
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Paper Abstract

A quadratic neural network in which neural activity at each neuron is determined not only by every other neuron, but also by every other neuron-pair, is implemented optically. This quadratic network can be programmed through the interconnection weights and is also capable of realizing higher order nonlinear networks.

Paper Details

Date Published: 3 May 1988
PDF: 8 pages
Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); doi: 10.1117/12.944107
Show Author Affiliations
S H Lin, Texas Tech University (United States)
T F Krile, Texas Tech University (United States)
E J Boc hove, Texas Tech University (United States)
J F Walkup, Texas Tech University (United States)


Published in SPIE Proceedings Vol. 0882:
Neural Network Models for Optical Computing
Ravindra A. Athale; Joel Davis, Editor(s)

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