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1、I￡yIflZo?≈⑨天津大謦中目*代第一所^{碩士學位論文__用啊啊N日
2、喁t舟I■啊a__學科專業(yè)：系統(tǒng)工程作者姓名：韋忠升指導教師：馬壽峰教授干津十堂{#窯畢瞬2006年6月ABSTRACTTheTraditionalStatisticsisagradualtheorywhichtheamountofspecimenistendingtoinfinite，whileStatisticalLearningTheory(SLT)isatheoryattheconditionofsmallspecimenamount．Since
3、thespecimenamountisalwayslimitedinreality,SLThasitstheoreticaladvantage．BasedonSLTandStructure砌skMinimum(SgM)principle，SupportVectorMachine(SVM)isnotonlysimpleinstructure，butalsohas900dgeneralizationability．SoSVMhasgraduallybecomeoneofhotspotissuesinthefieldofmachine
4、learning．Withtherapiddevelopmentofcommunication．informationscience&electronicengineeringandcomputertechnology,IntelligenceTransportSystem(ITS)hasbeenattachedextensiveimportanceincreasingly,thusputforwardagreaterdemandontechnologiesinmanyfields，suchasrecognitionofvehi
5、cle-typeandvehicle—plate，predictionoftrafficflowete．Thepurposeofthisarticleisto，basedontheSVM，conductresearchonbasicmethodsofmodelidentificationandregressiveanalysis，andtheirapplicationstoITS．Thisarticleincludesthefollowingmaintasksandexistingachievements：I．Basedonth
6、eProximalSVM，thisthesisdrewupontheideaofincrementallearningalgorithmandthesolutionofimbalanceintrainingspecimenamount缸differentsorts，laterdefinedanewkindofweiightedcoefficientmatrix，putforthamulti—classclassificationalgorithmofbalancedandincrement．Experimentalresults
7、haveshowedthatthisalgorithmhasfairlyhighstabilityandclassificationaccuracy．2．Byconductingresearchonseveralmulti-classclassificationalgorithms，summarizingtheirmeritsanddemeritsandcombiningwithtechnologyofHuffmanTree，thisdissertationbroughtforwardamulti-classclassifica
8、tionalgorithmwhichisbasedonHuffmanDecisionTree．Lateronconductedsimulativeexperimentsonmanyopeneddatabases，haveprovedthatalgorithmisnotonlywithrelativelyhighclassificationaccuracy,butalsowithveryhightrainingefficiency．3．Firstly,weconductedrelativelysystematicresearcho
9、ntheoryandrealizationofSupportVectorRegression，thenanalyzedthemeritsanddemeritsofv—svg,andfurtherputfonllthev-ESVRalgorithm．Finally
