Predicting and generating time series by neural networks: An investigation using statistical physics

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dc.creatorKinzel, Wolfgang
dc.date2000-10-23
dc.date.accessioned2026-07-07T02:39:05Z
dc.date.available2026-07-07T02:39:05Z
dc.descriptionAn overview is given about the statistical physics of neural networks generating and analysing time series. Storage capacity, bit and sequence generation, prediction error, antipredictable sequences, interacting perceptrons and the application on the minority game are discussed. Finally, as a demonstration a perceptron predicts bit sequences produced by human beings.
dc.identifierhttps://arxiv.org/abs/cond-mat/0010343
dc.identifierhttp://arxiv.org/abs/cond-mat/0010343
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/16919
dc.subjectDisordered Systems and Neural Networks
dc.subjectStatistical Mechanics
dc.subjectQuantitative Biology
dc.titlePredicting and generating time series by neural networks: An investigation using statistical physics
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