Application of SVM Combined with Mackov Chain for Inventory Prediction in Supply Chain

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Show simple item record Wang, Jianzhou en_US Zhu, Wenjin en_US Sun, Donghuai en_US Lu, Hai Yan (Helen) en_US
dc.contributor.editor T. Hou and S. Mendlinger en_US 2010-05-28T10:00:48Z 2010-05-28T10:00:48Z 2008 en_US
dc.identifier 2008001841 en_US
dc.identifier.citation Wang Jianzhou et al. 2008, 'Application of SVM Combined with Mackov Chain for Inventory Prediction in Supply Chain', IEEE, Piscataway, USA, pp. 1-4. en_US
dc.identifier.issn 978-1-4244-2107-7 en_US
dc.identifier.other E1UNSUBMIT en_US
dc.description.abstract The aim of this paper is to predict the inventory of the relevant upstream enterprises in supply chain. The support vector machine, a novel artificial intelligence-based method developed from statistical learning theory, is adopted herein to establish a short-term stage forecasting model. However, take the fact into account that demand signal is affected by variant random factors and behaves big uncertainty, the predicted accuracy of SVM is not approving when the data show great randomness. It is obligatory that we present Markov chain to improve the predicted accuracy of SVM. This combined model takes advantage of the high predictable power of SVM model and at the same time take advantage of the prediction power of Markov chain modeling on the discrete states based on the SVM modeling residual sequence. Then we use the statistical data of the output of the gasoline of China from Feb-06 to Dec-07 for a validation of the effectiveness of the above model. en_US
dc.language en_US
dc.publisher IEEE en_US
dc.relation.isbasedon en_US
dc.title Application of SVM Combined with Mackov Chain for Inventory Prediction in Supply Chain en_US
dc.parent Proceedings of the 4th International Conference on Wireless Communications, Networking, and Mobile Computing en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Piscataway, USA en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 4 en_US FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 0000047860 en_US
dc.personcode 0000047858 en_US
dc.personcode 0000047859 en_US
dc.personcode 000516 en_US
dc.percentage 100 en_US Distributed Computing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conference on Wireless Communications, Networking and Mobile Computing en_US 20081012 en_US
dc.location.activity Dalian, China en_US
dc.description.keywords SVM, supply chain, Markov chain, predict en_US
dc.staffid en_US
dc.staffid 000516 en_US

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