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dc.contributor.authorPensuwon, W.
dc.contributor.authorAdams, R.G.
dc.contributor.authorDavey, N.
dc.date.accessioned2007-09-05T09:57:21Z
dc.date.available2007-09-05T09:57:21Z
dc.date.issued2001
dc.identifier.citationPensuwon , W , Adams , R G & Davey , N 2001 , ' The Analysis of the addition of Stochasticity to a Neural Tree Classifier ' , Applied Soft Computing , vol. 1 , no. 3 , pp. 189-200 . https://doi.org/10.1016/S1568-4946(01)00018-7
dc.identifier.issn1568-4946
dc.identifier.otherPURE: 91968
dc.identifier.otherPURE UUID: 0b2e4382-2b39-4b69-bde1-7ff7c045fb65
dc.identifier.otherdspace: 2299/587
dc.identifier.otherScopus: 16644366919
dc.identifier.urihttp://hdl.handle.net/2299/587
dc.descriptionOriginal article can be found at: http://www.sciencedirect.com/science/journal/15684946--Copyright Elsevier B.V. DOI : 10.1016/S1568-4946(01)00018-7
dc.description.abstractThis paper describes various mechanisms for adding stochasticity to a dynamic hierarchical neural clusterer. Such a network grows a tree-structured neural classifier dynamically in response to the unlabelled data with which it is presented. Experiments are undertaken to evaluate the effects of this addition of stochasticity. These tests were carried out using two sets of internal parameters, that define the characteristics of the neural clusterer.en
dc.language.isoeng
dc.relation.ispartofApplied Soft Computing
dc.rightsOpen
dc.titleThe Analysis of the addition of Stochasticity to a Neural Tree Classifieren
dc.contributor.institutionSchool of Computer Science
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Computer Science
dcterms.dateAccepted2001
rioxxterms.versionofrecordhttps://doi.org/10.1016/S1568-4946(01)00018-7
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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