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Recurrent Neural Networks for Industrial Procurement Decisions

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dc.contributor.authorZimmermann, Hans-Georg
dc.contributor.authorTietz, Christoph
dc.contributor.authorGrothmann, Ralph
dc.contributor.authorRunkler, Thomas
dc.date.accessioned2018-01-08T09:16:10Z
dc.date.available2018-01-08T09:16:10Z
dc.date.issued2012
dc.description.abstractRational decisions are based upon forecasts. Precise forecasting has therefore a central role in business. The prediction of commodity prices or the prediction of energy load curves are prime examples. We introduce recurrent neural networks to model economic or industrial dynamic systems.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11325
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 26, No. 4
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectForecasting
dc.subjectNeural networks
dc.titleRecurrent Neural Networks for Industrial Procurement Decisions
dc.typeText/Journal Article
gi.citation.endPage406
gi.citation.startPage403

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Künstliche Intelligenz 26(4) - November 2012