Experimental implementation of an optical neural network scalable to very large size

Steven A. Lis; Philip D. Henshaw

doi:10.1117/12.983190

2 February 1993 Experimental implementation of an optical neural network scalable to very large size

Steven A. Lis, Philip D. Henshaw

Proceedings Volume 1773, Photonics for Computers, Neural Networks, and Memories; (1993) https://doi.org/10.1117/12.983190
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

This paper describes recent results obtained during the experimental development of a holographic optical neural network based upon the spectrally selective recording properties of spectral hole burning materials. This general architecture has been initially tested as a bi-directional associative memory system (a subclass of neural networks). The results obtained clearly demonstrate the fundamental ability to fully connect two 2D planes of digital information. Expectations are that this architecture can be extended to capacities of 10¹² interconnects or greater in a modest form factor system.

Citation Download Citation

Steven A. Lis and Philip D. Henshaw "Experimental implementation of an optical neural network scalable to very large size", Proc. SPIE 1773, Photonics for Computers, Neural Networks, and Memories, (2 February 1993); https://doi.org/10.1117/12.983190

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