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附件方面有关论文范本,与EI收录文情况相关论文查重软件
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Technologies,LineCommunications-723ComputerSoftware,DataHandlingandApplicationsDOI:10.1109/WICOM.2016.5601246
Database:Compendex
Accessionnumber:20164613375424
Title:ImprovedEnhancedSelf-TentativePSOalgorithmforTSP
Authors:Zhang,Jiang-Wei1,Si,Wen-Jian1
Authoraffiliation:
1SchoolofComputerScienceandTechnology,XuchangUniversity,Xuchang,Hen
附件方面有关论文范本
Correspondingauthor:Zhang,J.-W.
Sourcetitle:Proceedings-20166thInternationalConferenceonNaturalComputation,ICNC2016
Abbreviatedsourcetitle:Proc.-Int.Conf.Nat.Comput.,ICNC
Volume:5
Monographtitle:Proceedings-20166thInternationalConferenceonNaturalComputation,ICNC2016
Issuedate:2016
Publicationyear:2016
Pages:2638-2641
Articlenumber:5583011
Language:English
ISBN-13:9781424459612
Documenttype:Conferencearticle(CA)
Conferencename:20166thInternationalConferenceonNaturalComputation,ICNC'10
Conferencedate:August10,2016-August12,2016
Conferencelocation:Yantai,Shandong,China
Conferencecode:82182
Sponsor:YantaiUniversity
Publisher:IEEEComputerSociety,445HoesLane-P.O.Box1331,Piscataway,NJ08855-1331,UnitedStates
Abstract:ThispaperproposesanImprovedEnhancedSelf-Tentative(IEST)particleswarmoptimization(PSO)algorithmforsolvingTSPproblem.Theimprovedmethodcaneasilysolvethecrossproblemforthetour,andgreatlyincreasedthechancestofindthebettersolutionintheevolutionaryprocess.Timeplexityoftheimprovedmethodwasanalyzed,basedonthistheproperparameterswassettosolvedifferentbenchmarkTSPproblems,numericalsimulationresultsshowtheeffectivenessandefficiencyoftheproposedmethod.2016IEEE.
Numberofreferences:8
Mainheading:Particleswarmoptimization(PSO)
Controlledterms:Computersimulation-Problemsolving
Uncontrolledterms:Evolutionaryprocess-Improvedenhancedself-tentative-Improvedmethods-Numericalsimulation-Particleswarmoptimizationalgorithm-Pso-PSOalgorithms-Timeplexity-Tsp-TSPproblems
Classificationcode:723ComputerSoftware,DataHandlingandApplications-723.5ComputerApplications-921Mathematics
DOI:10.1109/ICNC.2016.5583011
Database:Compendex
Accessionnumber:20164613375186
Title:IdentifyingsentimentpatternsofBBSreviewsbasedonassociatevememorymodel
Authors:Xiong,Delan1,Tian,Shengli1,Zhang,Boping1
Authoraffiliation:
1DepartmentofComputerScienceandTechnology,XuchangUniversity,Xuchang,China
Correspondingauthor:Xiong,D.
Sourcetitle:Proceedings-20166thInternationalConferenceonNaturalComputation,ICNC2016
Abbreviatedsourcetitle:Proc.-Int.Conf.Nat.Comput.,ICNC
Volume:4
Monographtitle:Proceedings-20166thInternationalConferenceonNaturalComputation,ICNC2016
Issuedate:2016
Publicationyear:2016
Pages:1696-1699
Articlenumber:5582700
Language:English
ISBN-13:9781424459612
Documenttype:Conferencearticle(CA)
Conferencename:20166thInternationalConferenceonNaturalComputation,ICNC'10
Conferencedate:August10,2016-August12,2016
Conferencelocation:Yantai,Shandong,China
Conferencecode:82182
Sponsor:YantaiUniversity
Publisher:IEEEComputerSociety,445HoesLane-P.O.Box1331,Piscataway,NJ08855-1331,UnitedStates
Abstract:BBSispopularonlineforum,whichcontainsagreatwealthofknowledgeaboutprivateopinionsandsentiments.BecausetheinformationinBBSismess,itisdifficulttoidentifythisusefulknowledge.Takingadvantageofthefunctionsofbidirectionalassociativememory,thepaperpresentsanovelmethodtoidentifysentimentpatternsofBBSreviews.WecallitISPBAM(IdentifySentimentPatternsbasedonBAM).ItcanacquirethesyntaxpatternofunnormalsentencesinBBSreviewsandidentifythesentimentorientationofthem.Soitbinestwofunctionsofsentimentclassificationandpolartermsrecognization.Butdifferfromsimplexsentimentclassificationorpolartermsrecognition,thismethodcanidentifysentimentpatternswithoutconstructinglinguisticresources.TheexperimentsaredoneforBBSreviewsaboutrecentChineseSpringFestivalGalaEvenings.Theresultsshowtheproposedmethodisfeasible,andmorepowerfulthanformermethods.2016IEEE.
Numberofreferences:8
Mainheading:Bulletinboards
Controlledterms:Associativeprocessing-Associativestorage-Classification(ofinformation)
Uncontrolledterms:Bi-directionalassociativememories-Chinesesprings-Linguisticresources-Memorymodels-Novelmethods-Onlineforums-Sentimentclassification-Sentimentidentification-Sentimentpatterns(SP)
Classificationcode:716Telemunication,Radar,RadioandTelevision-716.1InformationTheoryandSignalProcessing-717OpticalCommunication-718TelephoneSystemsandRelatedTechnologies,LineCommunications-722.1DataStorage,EquipmentandTechniques-723.2DataProcessingandImageProcessing
DOI:10.1109/
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