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Article: Rule extraction from an optimized neural network for traffic crash frequency modeling

TitleRule extraction from an optimized neural network for traffic crash frequency modeling
Authors
Zeng, QHuang, HPei, XWong, SCGao, M
KeywordsCrash frequency
Neural network
Over-fitting
Rule extraction
Structure optimization
Issue Date2016
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/336/description#description
Citation
Accident Analysis & Prevention, 2016, v. 97, p. 87-95 How to Cite?
DOI: http://dx.doi.org/10.1016/j.aap.2016.08.017
Persistent Identifierhttp://hdl.handle.net/10722/237009
ISSN
0001-4575
2021 Impact Factor: 6.376
2020 SCImago Journal Rankings: 1.816
ISI Accession Number ID
WOS:000390634300009

 

DC FieldValueLanguage
dc.contributor.authorZeng, Q-
dc.contributor.authorHuang, H-
dc.contributor.authorPei, X-
dc.contributor.authorWong, SC-
dc.contributor.authorGao, M-
dc.date.accessioned2016-12-20T06:14:45Z-
dc.date.available2016-12-20T06:14:45Z-
dc.date.issued2016-
dc.identifier.citationAccident Analysis & Prevention, 2016, v. 97, p. 87-95-
dc.identifier.issn0001-4575-
dc.identifier.urihttp://hdl.handle.net/10722/237009-
dc.languageeng-
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/336/description#description-
dc.relation.ispartofAccident Analysis & Prevention-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCrash frequency-
dc.subjectNeural network-
dc.subjectOver-fitting-
dc.subjectRule extraction-
dc.subjectStructure optimization-
dc.titleRule extraction from an optimized neural network for traffic crash frequency modeling-
dc.typeArticle-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.aap.2016.08.017-
dc.identifier.scopuseid_2-s2.0-84984697728-
dc.identifier.hkuros270793-
dc.identifier.volume97-
dc.identifier.spage87-
dc.identifier.epage95-
dc.identifier.isiWOS:000390634300009-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0001-4575-

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