Short term prediction of sales in supermarkets

DC FieldValueLanguage
dc.contributor.authorThiesing, Frank M.
dc.contributor.authorMiddelberg, Ulrich
dc.contributor.authorVornberger, Oliver
dc.date.accessioned2021-12-23T16:27:31Z-
dc.date.available2021-12-23T16:27:31Z-
dc.date.issued1995
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/15492-
dc.descriptionConference of Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) ; Conference Date: 27 November 1995 Through 1 December 1995; Conference Code:44687
dc.description.abstractIn this paper artificial neural networks are applied to a short term forecast of the sale of articles in supermarkets. The times series of sales, prices and advertising campaigns are modelled to fit into feedforward multilayer perceptron networks that are trained by the back-propagation algorithm. Several net topologies and training parameters have been compared. For enhancement the back-propagation algorithm has been parallelized in different manners. One batch and two on-line training algorithms are implemented on parallel systems with both the runtime environments PARIX and PVM. The research will lead to a practical forecasting system for supermarkets.
dc.language.isoen
dc.publisherIEEE, Piscataway, NJ, United States
dc.relation.ispartofIEEE International Conference on Neural Networks - Conference Proceedings
dc.subjectAlgorithms
dc.subjectBackpropagation
dc.subjectForecasting
dc.subjectMarketing
dc.subjectMathematical models
dc.subjectTime series analysis, Online training algorithms
dc.subjectShort term forecast, Neural networks
dc.titleShort term prediction of sales in supermarkets
dc.typeconference paper
dc.identifier.scopus2-s2.0-0029543066
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0029543066&partnerID=40&md5=603c48579af1a9b60dc374d377b6686f
dc.description.volume2
dc.description.startpage1028
dc.description.endpage1031
dc.publisher.placePerth, Aust
dcterms.isPartOf.abbreviationIEEE Int Conf Neural Networks Conf Proc
crisitem.author.deptFB 06 - Mathematik/Informatik-
crisitem.author.deptidfb06-
crisitem.author.parentorgUniversität Osnabrück-
crisitem.author.netidVoOl593-
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