Multi-state neural networks based upon spin-glasses: a biased overview

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dc.creatorBolle, D.
dc.date2003-07-04
dc.date.accessioned2026-07-25T15:14:31Z
dc.descriptionRecent results are reviewed on both the time evolution and retrieval properties of multi-state neural networks that are based upon spin-glass models. In particular, the properties of models with neuron states having Q-Ising symmetry are discussed for various architectures. The main common features and differences are highlighted.
dc.descriptionReview chapter to appear in Advances in Condensed Matter and Statistical Mechanics, ed. by E. Korutcheva and R. Cuerno, Nova Science Publishers (38 pages Latex with 12 eps-figures)
dc.identifierhttps://arxiv.org/abs/cond-mat/0307104
dc.identifierhttp://arxiv.org/abs/cond-mat/0307104
dc.identifier.urihttps://dspace.dare.co.zw/handle/123456789/32236
dc.subjectDisordered Systems and Neural Networks
dc.subjectStatistical Mechanics
dc.subjectQuantitative Biology
dc.titleMulti-state neural networks based upon spin-glasses: a biased overview
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