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一种基于数据融合和方法融合的时空综合预测算法.pdf

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计算机研究与发展 IsSN1000一1239/CN11.1777/TP of Researchand 1255~1 JournalConlputer I)evelopment 42(7): 260,2005 一种基于数据融合和方法融合的时空综合预测算法 徐 薇1 黄厚宽1 王英杰2 1(北京交通大学计算机与信息技术学院北京100044) 2(中国铁道科学研究院电子计算技术研究所北京 100081) (xuwe妇zy@sohu.com) An BasedonDataFusionand IntegratedSpatio-TemporalForecastingApprOach MethOdFusiOn Xu Weil,HuangHoukuanl,andWangYin西ie2 1(&^00Z n行d 100044) o,CD聊加£Pr J挖如r卅nfio押%^oZq纠,&巧i行gJi∞幻理g‰i傀玲泐,&巧i行g 100081) 2(j起盯i£“据o,C0埘加fi玎gTk^舢Z9到,吼i行口A∞如my盯Rniz伽ySfi硎伽,&巧i竹g Abstract data isan researchindata inwhich Spatio—temporalminingimportanttopic mining,andspatio— is most used.Inordertoovercomethe the limitationsofcurrent temporalforecasting widely spatio—temporal this a basedondatafusionand forecastingmethods,paperproposesspatio—temporalforecastingapproach methodfusion.The firstforecaststime ofthe itselfwithstatistical approach sequence targetobject and influencesof neuralnetwork then principlescomputes neighboringobjectsemploying technique, forecastsmixed the data and sequenceusingspatio—temporalauto—regressivemodel, finallyintegrates individualtime forecastand forecast linear to sequenceforecast,spatialspatio—temporalthroughregression deliverthefinalresult.The was usedinthe of flowin approachsuccessfully
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