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基于优化随机森林模型的滑坡易发性评价
2019-08-16 | 阅:  转:  |  分享 
  
第卷第期刘坚等:基于优化随机森林模型的滑坡易发性评价
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RandomForestD.TianinNankaiUniversit16TianZhenuoChenWenminLuShuian
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(安洲基于随机森林的硬盘故障预测算法的研
2014.etal.ControlandTrierinFactorsAnalsisof
gggy
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究天津南开大学
D.2014LandslidesandRockfallsintheThreeGorgesReG
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15PengLing.LandslideRiskAssessmentintheThreeservoirAreaJ.ResourcesEnvironment&EngiG
[]:,,():(田正国,程温鸣,卢书
GoresReservoirD.WuhanChinaUniversitofneerin201327150G55
gyg
,(彭令三峡库区滑坡灾害风险评强,等三峡库区滑坡崩塌发育的控制与诱发因素分
Geosciences2013..
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估研究武汉中国地质大学析资源环境与工程
D.2013J.201327150G55
LandslideSuscetibilitAssesmentBasedonOtimizedRandomForestModel
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,
1211
LIUJianLIShulinCHENTao
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1InstituteofGeophysicsandGeomaticsChinaUniversityofGeosciencesWuhan430074China
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2KeyLaboratoryofEarthquakeGeodesyInstituteofSeismologyCEAWuhan430071China
:
AbstractTheresearchareaislocatedinShazhenxitownandXietantownofThreeGorgesreservoir
,
areainthisaer.Inordertoobtainbetterresultsthatdiscretethecontinuousfactorsoflandslide
pp
()
entrobasedonminimaldescritionlenthrincileEntGMDLPmethodisused.ToavoidtheinfluG
pypgpp
,
enceofcorrelationbetweenfactorswecalculatethePearsoncorrelationcoefficienttoremovehigh
,
correlationfactor.InordertoobtainmoreaccuratenonGlandslidesamleointsthenonGlandslide
pp
samleointsarerandomlselectedfromtheverlowandlowsuscetiblereionsredictedbthe
ppyypgpy
,
entropymethod.Fortheoptimizedrandomforestsmodeltheoptimalrandomfeaturesanditsnumber
aredeterminedbyiterativecalculationofoutGofGbagerrorestimation.Thentheoptimizedrandom
,
forestisevaluatedforthelandslideofthestudareaandthelandslidesuscetibilitlevelisdivided.
ypy
,
ThemodeliscomaredwiththemethodsofloisticreressionsuortvectormachineandnonGotiG
pggppp
mizedrandomforest.Theaccuracyofeachmodelisevaluatedbyplottingthereceiversensitivitycurve
’,
ofeachalorithm.Theotimizedrandomforestsareaisthehihestwhichtheareaunderthecurve
gpg
is91.8%.TheseshowthattherandomforestmodelisotimizedwithmorehihGredictiveowerin
pgpp
landslideGproneassessment.
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KeywordsThreeGorgesreservoirarealandslidediscretizationrandomforestoptimizationsusG
cetibilitassessment
py
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FirstauthorLIUJianPhDcandidateengineerspecializesincloudcomputingandgeologicaldisasterassessment.EGmaillinefanliu@
163.com
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CorresondinauthorLIShulinostraduate.EGmaillishulincu@mail.com
pgpggg
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FoundationsupportTheNationalHighTechnologyResearchandDevelopmentProgramofChina863ProgramNo.2012AA121303.
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