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15 October 1986 Nearest-Neighbor Non-Iterative Error Correcting Optical Associative Memory Processor
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Proceedings Volume 0638, Hybrid Image Processing; (1986)
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States
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.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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);

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