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dc.contributor.authorSaen, Reza Farzipooren_US
dc.date.accessioned2017-05-03T15:46:58Z
dc.date.available2017-05-03T15:46:58Z
dc.date.issued2009en_US
dc.date.modified2010-10-15T07:29:12Z
dc.identifier.issn18184952en_US
dc.identifier.urihttp://hdl.handle.net/10072/34549
dc.description.abstractThe objective of this paper is to propose a new use of Artificial Neural Networks (ANNs) for technology selection in the presence of both continuous and categorical data. To indicate the relative importance of the ANN inputs to the result of the network, a methodology for sensitivity analysis is presented. A numerical example demonstrates the application of the proposed method.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent86936 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIDOSIen_US
dc.publisher.placePakistanen_US
dc.publisher.urihttp://idosi.org/wasj/wasj6(9)/2.pdfen_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom1177en_US
dc.relation.ispartofpageto1189en_US
dc.relation.ispartofissue9en_US
dc.relation.ispartofjournalWorld Applied Sciences Journalen_US
dc.relation.ispartofvolume6en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchCommerce, Management, Tourism and Services not elsewhere classifieden_US
dc.subject.fieldofresearchcode159999en_US
dc.titleThe Use of Artificial Neural Networks for Technology Selection in the Presence of both Continuous and Categorical Dataen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2009 IDOSI. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.en_AU
gro.date.issued2009
gro.hasfulltextFull Text


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