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Proceedings Paper

Holographic Implementation Of A Discrete Hopfield Neural Network Model
Author(s): H J White; W A Wright
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Paper Abstract

This paper investigates the feasibility of constructing a Hopfield neural network model using optical techniques. The use of thin holographic elements to form the weighted interconnections is discussed as well as the desirable response of 'nonlinear processing elements. This implementation is of a bipolar vector model and processes the negative numbers involved without using a subtraction stage. Our analysis suggests that although present day technology would limit the size of the network that could be implemented, the construction of an optical machine is now possible with a connectivity exceeding any curently available electronic machine.

Paper Details

Date Published: 3 May 1988
PDF: 4 pages
Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); doi: 10.1117/12.944102
Show Author Affiliations
H J White, British Aerospace PLC (United Kingdom)
W A Wright, British Aerospace PLC (United Kingdom)

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

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