Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9640
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dc.contributor.authorMOONS, Elke-
dc.contributor.authorWETS, Geert-
dc.contributor.authorAERTS, Marc-
dc.date.accessioned2009-05-05T09:01:16Z-
dc.date.issued2008-
dc.identifier.citationRossi, C. (Ed.) Frontiers in Brain, Vision and AI, p. 167-182.-
dc.identifier.isbn978-953-7619-04-6-
dc.identifier.urihttp://hdl.handle.net/1942/9640-
dc.language.isoen-
dc.publisherInTech Education and Publishing-
dc.titleInvestigating the Performance if rule-based models with increasing complexity on the prediction of trip generation distribution-
dc.typeBook Section-
local.bibliographicCitation.authorsRossi, C.-
dc.identifier.epage182-
dc.identifier.spage167-
local.bibliographicCitation.jcatB2-
local.type.specifiedBook Section-
dc.bibliographicCitation.oldjcatB2-
dc.identifier.urlhttp://intechweb.org/downloadpdf.php?id=5334-
local.bibliographicCitation.btitleFrontiers in Brain, Vision and AI-
item.fulltextNo Fulltext-
item.accessRightsClosed Access-
item.fullcitationMOONS, Elke; WETS, Geert & AERTS, Marc (2008) Investigating the Performance if rule-based models with increasing complexity on the prediction of trip generation distribution. In: Rossi, C. (Ed.) Frontiers in Brain, Vision and AI, p. 167-182..-
item.contributorMOONS, Elke-
item.contributorWETS, Geert-
item.contributorAERTS, Marc-
Appears in Collections:Research publications
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