Statistical Physics of Feedforward Neural Networks

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dc.creatorUrbanczik, Robert
dc.date2002-01-29
dc.date.accessioned2026-07-07T02:44:16Z
dc.date.available2026-07-07T02:44:16Z
dc.descriptionThe article is a lightly edited version of my habilitation thesis at the University Wuerzburg. My aim is to give a self contained, if concise, introduction to the formal methods used when off-line learning in feedforward networks is analyzed by statistical physics. However, due to its origin, the article is not a comprehensive review of the field but is highly skewed towards reporting my own research.
dc.description44 pages
dc.identifierhttps://arxiv.org/abs/cond-mat/0201530
dc.identifierhttp://arxiv.org/abs/cond-mat/0201530
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/18853
dc.subjectDisordered Systems and Neural Networks
dc.subjectQuantitative Biology
dc.titleStatistical Physics of Feedforward Neural Networks
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