Optical Neural Network Using A High Resolution Video Monitor

Taiwei Lu; Shudong Wu; Xin Xu; Francis T. S. Yu

doi:10.1117/12.961611

25 October 1989 Optical Neural Network Using A High Resolution Video Monitor

Taiwei Lu, Shudong Wu, Xin Xu, Francis T. S. Yu

Proceedings Volume 1134, Optical Pattern Recognition II; (1989) https://doi.org/10.1117/12.961611
Event: 1989 International Congress on Optical Science and Engineering, 1989, Paris, France

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.

Citation Download Citation

Taiwei Lu, Shudong Wu, Xin Xu, and Francis T. S. Yu "Optical Neural Network Using A High Resolution Video Monitor", Proc. SPIE 1134, Optical Pattern Recognition II, (25 October 1989); https://doi.org/10.1117/12.961611

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