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Proceedings Paper

Optical neural network: architecture, design, and models
Author(s): Francis T. S. Yu
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Paper Abstract

An adaptive optical neuro network using inexpensive pocket size liquid crystal televisions (LCTVs) was recently developed by graduate students in the Electro-Optics Laboratory at The Pennsylvania State University. Although this neuro-computing has only 8 X 8 equals 64 neurons, it can be easily extended to 16 X 20 equals 320 neurons. The major advantages of this LCTV architecture as compared wither other ONCs, are low cost and flexibility to operate. To test the performance, several neural net models are used. These models are interpattern association, hetero-association, and unsupervised learning algorithms. The system design considerations and experimental demonstrations are also included.

Paper Details

Date Published: 11 November 1991
PDF: 16 pages
Proc. SPIE 1558, Wave Propagation and Scattering in Varied Media II, (11 November 1991); doi: 10.1117/12.49645
Show Author Affiliations
Francis T. S. Yu, The Pennsylvania State Univ. (United States)

Published in SPIE Proceedings Vol. 1558:
Wave Propagation and Scattering in Varied Media II
Vijay K. Varadan, Editor(s)

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