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Increased storage capacity for hierarchically structured information in a neural network of Ising type

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Publication:3350812
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DOI10.1088/0305-4470/22/21/012zbMath0727.68100OpenAlexW2146487754MaRDI QIDQ3350812

Reimer Kühn, J. Leo van Hemmen, Lev B. Ioffe

Publication date: 1989

Published in: Journal of Physics A: Mathematical and General (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/5767edccdacbc74d572d6ce1ecc39b10de826c86


zbMATH Keywords

neural networkIsing spinsHopfield-type networkshierarchically structured information


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics (82B20)








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