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Proceedings Paper

Optical Implementation Of Programmable Neural Networks
Author(s): Taiwei Lu; Sudong Wu; Xin Xu; Francis T. S. Yu
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Paper Abstract

A 2-D hybrid optical neural network using a high resolution video monitor as a programmable associative memory is proposed. Experiments and computer simulations of the system have been conducted. 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 increase 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: 29 June 1989
PDF: 10 pages
Proc. SPIE 1053, Optical Pattern Recognition, (29 June 1989); doi: 10.1117/12.951513
Show Author Affiliations
Taiwei Lu, The Pennsylvania State University (United States)
Sudong 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. 1053:
Optical Pattern Recognition
Hua-Kuang Liu, Editor(s)

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