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Temporal differences learning with the scaled conjugate gradient algorithm

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dc.contributor.author Falas, T en
dc.contributor.author Stafylopatis, A en
dc.date.accessioned 2014-03-01T02:49:11Z
dc.date.available 2014-03-01T02:49:11Z
dc.date.issued 2002 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/34386
dc.subject backpropagation en
dc.subject Learning System en
dc.subject Supervised Learning en
dc.subject Temporal Difference Learning en
dc.subject Time Series Prediction en
dc.subject Training Algorithm en
dc.subject Neural Network en
dc.subject Scaled Conjugate Gradient en
dc.subject Temporal Difference en
dc.title Temporal differences learning with the scaled conjugate gradient algorithm en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICONIP.2002.1201971 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICONIP.2002.1201971 en
heal.publicationDate 2002 en
heal.abstract This paper investigates the use of the scaled conjugate gradient algorithm in temporal differences learning for time series prediction more than one time interval ahead. Although neural networks trained with the traditional backpropagation (BP) algorithm are successfully applied in this area, the temporal differences (TD) methodology is potentially more applicable for multi-step predictions. A combination of TD with advanced algorithms en
heal.journalName International Conference on Neural Information Processing en
dc.identifier.doi 10.1109/ICONIP.2002.1201971 en


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