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ID:32184523
大小:1.90 MB
页数:52页
时间:2019-02-01
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1、Publicopinion骶greatlyincreasingviaIntemetinChina.Itarousesourcountry’shighattention.田1cdemandofearly-warningaboutIntemetpublicopinionisurgent.Establishingacrisisearly-warningsystemofInternetpublicopinionCallhelI,therelevantdepartmentsdetectcentralissuesofsociety,thenegativeinformationOrsignsofpote
2、ntialproblemstimelyandmakeearlywarning,ensuringthesocialsafetyandstabilityandpromotingnationalharmony.ThispaperdevelopsOnthetheoreticalknowledgeabout1.ntemetpublicopinionandcrisisearly-warning.neCOlecontentistoestablishthemodelofcrisisearly-warningofIntemetpublicopinionbasedOnBPneuralnetwork,inclu
3、dingtwoparts:thefirstpartofthemodelistoestablishtheindexsystemofcrisisearly-warningofIntemetpublicopinionfrom3levels,4aspects,11specificindicators,anditdescribesthe1specificindicatorsqualitativelytomakethejudgmentatIntemetpublicopinionmorescientificandobjective..n坞indexsystemofcrisisearly-warningo
4、fIntemetpublicopinionisanimportantdefenselineofsupervision;’clisinnab裔earlywarningofInternetpublicopinion.刀砖secondpartistoestablishthemodel.乃昭paperestablishesthemodelofcrisisearly-warningofIntemetpublicopinionbasedOilBPneuralnetworkusingtheneuralnetworktoolboxofMatlab7.0.Becauseofthecomplexity,non
5、--deterministicandnonlinearintheprocessofcrisisearly-warningofIntemetpublicopinion,thepaperappliesBPneuralnetworkincrisisearly-warningofIntcmetpublicopinion.Anditdemonstratestheeffectivenessofthismodelbytheeventofentrapmentinshanghai.Finally,thepaperprovidesSOIIICstrategiesandmanagementsuggestions
6、fordealingwiththecrisisofInternetpublicopinion.nemainresultsa陀雒follows:(1)Establishingaflewcrisisearly-warningindexsystemofIntemetpublicopinion,enrichingthediscoveryOiltheindexofcrisisearly-warningofInternetpublicopinion.(2)PresentingpracticalquantitativemethodsOnthebasisofthequalitative2气Ij曲10-J●
7、■、●,p一‘descriptionabouttheindexofcrisisearly-warningofInternetpublicopinion,toiihaketheindexsystemproposedinthetextmorcscientific.(3)Establishingthemodelofcrisisearly-warningofInternetpublicopinionbasedonBPneural
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