改進基因表達式編程在深基坑變形預測中的應用研究.pdf

1、分類號：密級：UDC：學號：碩士學位論文碩士學位論文2015年12月30日改進基因表達式編程在深基坑變形預測中的應用研究改進基因表達式編程在深基坑變形預測中的應用研究ApplicationintheDeepExcavationDefmationPredictionBasedonImprovedGeneExpressionProgramming學位類別：全日制專業(yè)碩士作者姓名：呂建勛學科、專業(yè)：測繪工程指導教師：劉小生教授研究方向：變形數(shù)

2、據(jù)處理AbstractIIAbstractWiththefurtherpromoteofChina’surbanizationconstructionlotsofhighrisesuperhighrisebuildingappearedthesebuilding’sfoundationrequirementsisverystrict.Sothedeepexcavationengineeringisthetypicalrepresenta

3、tiveofthem.Theprocessofusingbuildingstructureswouldcauseacertainamountofdefmationssettlements.Theseareveryunfavableofbuilding.Therefeithasimptantpracticalsignificanceofbuildingsafetytohaveascientificassessmentpredictionf

4、deepexcavationengineering.Thispaperisadoptedgeneexpressionprogrammingastheresearchmethodwithitsstrongabilitytofindtheuniqueadvantagesofthealgithmthealgithmisfurtherimprovedsothatitismeinlinewiththeactualapplicationrequir

5、ementsthemainresearchwkincludes:Firstlythepaperintroducestheresearchstatusbackgroundofgeneexpressionprogrammingdefmationpredictionofdeepexcavation.Besidesweanalysisthefundamentaloftraditionalgeneexpressionprogrammingalgi

6、thmthedefectofthepracticalapplication.ThenintroducethebasicideaofcloudmodeltheyuseXnmalcloudgeneratquantifytheuncertaingeiccontrolparameterstoimprovethetraditionalgeneexpressionprogrammingmodelbaseonthesizeofthepopulatio

7、nfitness.Finallythetwomonitingpointsofdeepfoundationpitofthefirst20observationdataasthetrainingsamplestheuseoftheimprovedpredictionmodelbefeafterthe5periodofdefmationdataofdeepfoundationpititsdataaccuracyspatialdistribut

8、ionoftheimpactanalysis.Viewedfromtheresultsofcomparativeanalysistheapplicationexampleitisfoundthattheimprovedmodelismethantwiceasmanyasthetraditionalmodelinthepredictionaccuracy.Itisprovedthattheimprovedgeneexpressionmod