1993
DOI: 10.1117/12.147842
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<title>Pattern-weighting method for optical associative memory</title>

Abstract: Different rules for weighting input vectors in high-order associative memory models are considered. Numerical simulation results are given showing the advantage of the pattern weighting in recognizing high-correlated patterns. An optoelectronic implementation of the inner-product associative memory with weighting method is presented.

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“…Traditional classical methods consider only second order correlations. Modifications to the standard classical algorithms have extended this to third and fourth order correlations [18] and higher order correlations have been shown to improve recall [19].…”
Section: Introductionmentioning
confidence: 99%
“…Traditional classical methods consider only second order correlations. Modifications to the standard classical algorithms have extended this to third and fourth order correlations [18] and higher order correlations have been shown to improve recall [19].…”
Section: Introductionmentioning
confidence: 99%