本文關(guān)鍵詞：基于BP神經(jīng)網(wǎng)絡(luò)的交通數(shù)據(jù)序列動(dòng)態(tài)可預(yù)測(cè)性分析方法，由筆耕文化傳播整理發(fā)布。

下載文檔 文檔分類(lèi)：論文 > 管理論文 基于BP神經(jīng)網(wǎng)絡(luò)的交通數(shù)據(jù)序列動(dòng)態(tài)可預(yù)測(cè)性分析方法.pdf下載后只包含 1 個(gè) PDF 格式的文檔，沒(méi)有任何的圖紙或源代碼，，

下載前請(qǐng)先預(yù)覽，預(yù)覽內(nèi)容跟原文是一樣的，在線(xiàn)預(yù)覽圖片經(jīng)過(guò)高度壓縮，下載原文更清晰。

0/100

下載文檔到電腦，查找使用更方便

下 載

還剩?頁(yè)未讀，繼續(xù)閱讀

網(wǎng)友wh7422近日為您收集整理了關(guān)于基于BP神經(jīng)網(wǎng)絡(luò)的交通數(shù)據(jù)序列動(dòng)態(tài)可預(yù)測(cè)性分析方法的文檔，希望對(duì)您的工作和學(xué)習(xí)有所幫助。以下是文檔介紹：JOURNALOFBEIJINGUNIVERSITYOFTECHNOLOGYVol.No.Jul.BP...BP..BPUA-----.“”AAZ.—......、、-、、-...dynamicpredictabilityfortrafficdataserialsDPT.DPTDPTBPDPT.DPT..、......k.DPT..DPTDPT...DPT.DPTBPBt=A·∑ni=xi-xn-槡xBtnxiixAA....Qt=∑t-kτi=t-nτxi+kτ-xin-kB·kQtkBB.BPMAEm=Ebg-EbsEbs~bii^biiyjii+j^yjiijnbgbsp......TableTheclassificationofpredictabilitystepsnumber∞....BP.~BPMAEb.MAEjp、MAEpMAEm......km.—h、min..dDPTd..oal/...DPTdd..d.....DPTDPTdDPT.DPT.DPTTableThetextresultofDPTanalysisMAEp...MAEm...MAEp...MAEm...DPTMAEpMAEmDPT..DPTBPTableThecontrastresultsofdynamicpredictabilityestimationmethodandfixed-stepmethodMAEp...MAEm...MAEp...MAEm...MAEp...MAEm...MAEp...MAEm...DPTDPTBPDPT.DPT..J.-.YAOZhi-shengSHAOChun-fuXIONGZhi-huaetal.Short-ponentanalysisandsupportvectormachineJ.JournalofJilinUniversityEngineeringandTechnologyEdition-.inChinese.J.ITS-.WANGJinSHIQi-xinLUHua-pu.AnalysisonpredictabilityoftrafficflowJ.IntelligentTransportationSystem-.inChinese.J.-.WANGZheng-wuHUANGZhong-xiangKUANGAi-wu.haracteristicidentificationandforecastingprecisionanalysisonshort-termtrafficflowJ.municationsUniversity-.inChinese.J.-.HUANGZhong-xiangWANGZheng-wuKUANGAi-wu.parisonontheforecastabilityforshort-termtrafficflowJ.ChinaCivilEngineeringJournal-.inChineseHUANGZhong-xiangLIZuo-min.ThefractaldimensionandfractalintervalforfreewaytrafficflowC∥IEEEIntelligentTransportationSystemsConferenceProceedings.DearbomMIUSAs.n.-..J.-.ZHANGYu-meiQUShi-ruWENKai-ge.ChaoticpropertyanalysisandpredictionmodelstudyfortrafficflowtimeseriesJ.ChinaCivilEngineeringJournal-.inChinese.J.-.LISongHEGuo-guang.ChaoscharacteristicsofexpresswaytrafficflowJ.JournalofHighwayandTransportationResearchandDevelopment-.inChinese.D..LISong.StudyonthetransitionofchaosinthetrafficflowD.TianjinSchoolofManagementTianjinUniversity.inChinese.D..ZHANGYong.IdentificationmethodofchaosintrafficflowfromsmalldatasetsD.TianjinSchoolofManagementTianjinUniversity.inChinese.BPJ.-.LIUJieSUNJi-guiLIHong-al.SetupofBPANN-basedcrashsensingalgorithmJ.JournalofJilinUniversityEngineeringandTechnologyEdition-.workJIANGGui-yanCHANGAn-deNIUShi-fengCONGYu-liangCHENGDe-mingWANGQiu-lan.StateKeyLaboratoryofAutomotiveDynamicSimulationJilinUniversityChangchunChina.CollegeofTrafficJilinUniversityChangchunChina.municationEngineeringJilinUniversityChangchunChinaAbstractInordertoimprovetheshort-termmulti-steppredictioneffectoftrafficdataserialsadynamicpredictabilityanalysisoftrafficdataserialsisfirstproposedbythispaper.works.paredtodifferentfixedpredictionsteps.Theexperimentalresultsindicatethattheproposedmethodcanpredictabilityanalyzethepredictabilityoftrafficdataserialson-lineandshort-uracy.Keywordstrafficengineeringshort-work

1

更多>>該用戶(hù)其他文檔

下載所得到的文件列表

基于BP神經(jīng)網(wǎng)絡(luò)的交通數(shù)據(jù)序列動(dòng)態(tài)可預(yù)測(cè)性分析方法.pdf

文檔介紹：
JOURNALOFBEIJINGUNIVERSITYOFTECHNOLOGYVol.No.Jul.BP...BP..BPUA-----.“”AAZ.—......、、-、、-...dynamicpredictabilityfortrafficdataserialsDPT.DPTDPTBPDPT.DPT..、......k.DPT..DPTDPT...DPT.DPTBPBt=A·∑ni=xi-xn-槡xBtnxiixAA....Qt=∑t-kτi=t-nτxi+kτ-xin-kB·kQtkBB.BPMAEm=Ebg-EbsEbs~bii^biiyjii+j^yjiijnbgbsp......TableTheclassificationofpredictabilitystepsnumber∞....BP.~BPMAEb.MAEjp、MAEpMAEm......km.—h、min..dDPTd..oal/...DPTdd..d.....DPTDPTdDPT.DPT.DPTTableThetextresultofDPTanalysisMAEp...MAEm...MAEp...MAEm...DPTMAEpMAEmDPT..DPTBPTableThecontrastresultsofdynamicpredictabilityestimationmethodandfixed-stepmethodMAEp...MAEm...MAEp...MAEm...MAEp...MAEm...MAEp...MAEm...DPTDPTBPDPT.DPT..J.-.YAOZhi-shengSHAOChun-fuXIONGZhi-huaetal.Short-ponentanalysisandsupportvectormachineJ.JournalofJilinUniversityEngineeringandTechnologyEdition-.inChinese.J.ITS-.WANGJinSHIQi-xinLUHua-pu.AnalysisonpredictabilityoftrafficflowJ.IntelligentTransportationSystem-.inChinese.J.-.WANGZheng-wuHUANGZhong-xiangKUANG... 內(nèi)容來(lái)自轉(zhuǎn)載請(qǐng)標(biāo)明出處.

  本文關(guān)鍵詞：基于BP神經(jīng)網(wǎng)絡(luò)的交通數(shù)據(jù)序列動(dòng)態(tài)可預(yù)測(cè)性分析方法，由筆耕文化傳播整理發(fā)布。