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Proceedings Paper

Neural model suitable for optical implementation
Author(s): Yansong Chen
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Paper Abstract

A modified model of artificial neural networks is suggested, the interconnective matrix of which is consisting of summation of matrices T1 and T2, where T1 is the outerproduct matrix of memory vectors and T2 is the complementary vectors one, respectively. Since all of elements of the interconnective matrix are non-negative values, the model is more suitable for implementation in optics. An optical neural network system is set up in laboratory to implement the model, which is composed of a green LED array for writing, a red LED array for read out, a PROM for recording interconnective matrix, a photodetector for measuring the output and a feedback system. In the meantime it is also executed by computer simulation. The experimental results of associative memory of two, three and four vectors with eight bits show that the model is of more capacity of associative memory, especially for non-orthogonal vector's memory.

Paper Details

Date Published: 2 February 1993
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Proc. SPIE 1773, Photonics for Computers, Neural Networks, and Memories, (2 February 1993); doi: 10.1117/12.983193
Show Author Affiliations
Yansong Chen, Institute of Physics (China)


Published in SPIE Proceedings Vol. 1773:
Photonics for Computers, Neural Networks, and Memories
Stephen T. Kowel; John A. Neff; William J. Miceli, Editor(s)

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