Using generalized principal component analysis to achieve associative memory in a Hopfield net

DOI10.1088/0954-898X/5/1/005zbMath0831.92001OpenAlexW4252095040MaRDI QIDQ4857317

Stephen Coombes, John G. Taylor

Publication date: 12 February 1996

Full work available at URL: https://doi.org/10.1088/0954-898x/5/1/005

zbMATH Keywords

simulation resultsHopfield networkassociative memorypattern correlation matrixrandom patternsunsupervised learning ruleGardner algorithmstructure of connection weights

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

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