信息熵在桥梁监测数据处理与预测的多环节应用

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关键词：信息熵;数据处理评价；预测范围修正；贝叶斯动态线性模型;长短期记忆网络 中图分类号：U441.2；TU392.5 文献标志码：A DOI:10.16385/j.cnki.issn.1004-4523.202402020

Multi link application of information entropy in bridge monitoring data processing and prediction

LI Jiuyu',FANXueping¹²,LIU Yuefei1² (1.SchoolofCivilEngineigandMecanics，anouUniversity，LanooChina；2KeyLboratoryofehancsosaster andEnvironment in Western China ofthe MinistryofEducation，Lanzhou University，Lanzhou 73oooo，China）

Abstract:DataprocesiandpredictionarkeyandorepartsofridgeealthmonitogThisstudytroduesiformatietrods optimizationalgoritintheaspctsofdecouplingeffectevaluationofbridgemoitoringdatapreditionerorevaluation，andprdiction rangecorrection，andrealizesdecouplingeffectevaluationofbridgemonitoringdatabasedonfuzzyentropy；proposestheinfoation entropyofpredictioneror，whichcombies withootmeansquareeo(MEtoehanethecomprehesiveevaluatioofpredictieor magnitudeandftiggeofdgetressdata；basedofoatioetropyupdatestuppadleliitagsofprdictiosls Theresultsshowthattheiformatioetropyanditsotizationalgorithavebviousadvantagesinevauationofataproceingefect, predictioncorection，errorevaluation，etc.，andhave goodapplication prospects inthebridge healthmonitoring system.

Keywords:ifoatiotropy;ataprocessgevaatio;predictioangecoretion;Bayesandamiclinearodel;longdotte memory network

随着社会的发展和进步，桥梁在交通运输中发挥的作用愈加重要，而不同于普通公路，桥梁结构一旦失效，会对人的生命财产安全造成巨大的威胁。（剩余24464字）