Nearest-Neighbor Non-Iterative Error Correcting Optical Associative Memory Processor

Bruce L. Montgomery; B. V.K. Vijaya Kumar

doi:10.1117/12.964267

15 October 1986 Nearest-Neighbor Non-Iterative Error Correcting Optical Associative Memory Processor

Bruce L. Montgomery, B. V.K. Vijaya Kumar

Proceedings Volume 0638, Hybrid Image Processing; (1986) https://doi.org/10.1117/12.964267
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States

Abstract

The Hopfield neural network model has recently been proposed as a method for optically determining the nearest-neighbor of a binary bipolar test vector from a set of binary bipolar reference vectors. We illustrate several drawbacks of this approach and introduce a new technique called direct storage nearest-neighbor (DSNN) algorithm to accomplish the same task. We provide a comparison of the two approaches and demonstrate the superiority of the proposed DSNN algorithm.

Citation Download Citation

Bruce L. Montgomery and B. V.K. Vijaya Kumar "Nearest-Neighbor Non-Iterative Error Correcting Optical Associative Memory Processor", Proc. SPIE 0638, Hybrid Image Processing, (15 October 1986); https://doi.org/10.1117/12.964267

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