研究成果
书籍:
1.覃征,陈俊英,王昱.电子政务导论[M].北京:高等教育出版社,2005年6月.(ISBN:7040173514)
2.覃征,陈俊英,王昱,等.电子政务导论(第二版)[M].北京:高等教育出版社,2008年11月.(ISBN:7987040255034)
3.参编《电机与拖动基础》机械工业出版社,完成5万字,2015.3
论文:
1.ChenJY,QinZ,LiuY,etal.Particleswarmoptimizationwithlocalsearch[C].Proceedingsof2005InternationalConferenceonNeuralNetworksandBrainProceedings(ICNNB'05),2005:481484(EI:20070910447018)
2.QinZ,ChenJY.EvolvingRBFneuralnetworksforpatternclassification[C].LectureNotesinComputerScience(includingsubseriesLectureNotesinArtificialIntelligenceandLectureNotesinBioinformatics),v3801LNAI,ComputationalIntelligenceandSecurityInternationalConference,CIS2005,2005:957964(SCI:000234873700142,EI:2006229909298)
3.ChenJY,QinZ.DimensionalityreductionforevolvingRBFnetworkswithparticleswarms[C].LectureNotesinComputerScience(includingsubseriesLectureNotesinArtificialIntelligenceandLectureNotesinBioinformatics),v3971LNCS,AdvancesinNeuralNetworksISNN2006:ThirdInternationalSymposiumonNeuralNetworks,ISNN2006,Proceedings,2006:13191325(SCI:000238112000196,EI:20062910011558)
4.ChenJY,QinZ.TrainingRBFneuralnetworkswithPSOandimprovedsubtractiveclusteringalgorithms[C].LectureNotesinComputerScience(includingsubseriesLectureNotesinArtificialIntelligenceandLectureNotesinBioinformatics),v4233LNCSII,13thInternationalConferenceonNeuralInformationProcessing(ICONIP2006),2006:11481155(SCI:000241753100125,EI:20064610230539)
5.ChenJY,QinZ,JiaJ.Aweightedmeansubtractiveclusteringalgorithm[J].InformationTechnologyJournal,2008,7(2):356360(EI:20081511190534)
6.ChenJY,QinZ,JiaJ.APSObasedsubtractiveclusteringtechniquefordesigningRBFneuralnetworks[C].Proceedingsofthe2008IEEECongressonEvolutionaryComputation(CEC2008),2008:20472052(EI:20084611709935)
7.ChenJY,ChenJ,FengZX.ShapeClassificationusingMultipleClassifierswithDifferentFeatureSets[J].AdvancedMaterialsResearch,2011.
8.ChenJY,LiZ.DesigningRBFNeuralNetworkswithWeightedMeanSubtractiveClusteringAlgorithms[C].The7thInternationalConferenceonNaturalComputation,2011.
9.陈俊英,王羡慧,方亚萍.基于RBF神经网络集成的三维模型分类和检索[J].图学学报,2013,02:2630.
10.陈俊英,何波,王羡慧.基于H_(Pal)信息熵融合的三维模型检索方法[J].系统仿真学报,2012,09:17771779+1789.
11.陈俊英,孟月波,王羡慧,刘四妹.基于最大相似类别和位置熵的三维模型融合检索方法[J].图学学报,2013,05:5155.