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Proceedings Paper

Optical Neural Network Using A High Resolution Video Monitor
Author(s): Taiwei Lu; Shudong Wu; Xin Xu; Francis T. S. Yu
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Paper Abstract

In this paper, we present a hybrid optical neural network using a high resolution video monitor as a programmable associative memory. The superior resolution and the number of gray levels of the video monitor lead to the implementation of a larger number of neurons and a larger dynamic range. The system operates in a high speed asynchronous mode due to the parallel feedback loop. The programmability of the system permits the use of the Orthogonal Projection(OP) and the Multilevel Recognition (MR) algorithms to improve the error correction ability of the network. Using current integrated optics and electronic technology this optical neural system attains high learning and operational speed.

Paper Details

Date Published: 25 October 1989
PDF: 8 pages
Proc. SPIE 1134, Optical Pattern Recognition II, (25 October 1989); doi: 10.1117/12.961611
Show Author Affiliations
Taiwei Lu, The Pennsylvania State University (United States)
Shudong Wu, The Pennsylvania State University (United States)
Xin Xu, The Pennsylvania State University (United States)
Francis T. S. Yu, The Pennsylvania State University (United States)

Published in SPIE Proceedings Vol. 1134:
Optical Pattern Recognition II
H. John Caulfield, Editor(s)

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