Neural model suitable for optical implementation

Yansong Chen

doi:10.1117/12.983193

2 February 1993 Neural model suitable for optical implementation

Yansong Chen

Proceedings Volume 1773, Photonics for Computers, Neural Networks, and Memories; (1993) https://doi.org/10.1117/12.983193
Event: San Diego '92, 1992, San Diego, CA, United States

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.

Citation Download Citation

Yansong Chen "Neural model suitable for optical implementation", Proc. SPIE 1773, Photonics for Computers, Neural Networks, and Memories, (2 February 1993); https://doi.org/10.1117/12.983193

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