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时间:2018-09-18
《考虑变权重自适应调整的网络信息鲁棒性分析》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、॓๙Б30ज6௹Vol.30No.62014୍6ᄅBULLETINOFSCIENCEANDTECHNOLOGYJun.2014ॉ੮эಃᇗሱൡႋטᆜຩྐ༏ਗ਼Ͽྟٳ༅ਾ࣋ᇜ(ඹԫࢌ๙ᆯြඌ࿐ჽ࠹ෘࠏ۽ӱ༢đඹԫӮ611130)ᅋေğBPപࣜຩࡆಃಃᇗӮܥ߄ሑđᇁྐ༏ྐࡎ༂ҵࢠնbิԛࠎႿBPപࣜຩэಃᇗሱൡႋຩຉ௪ࢲܒC2Cຩྐ༏ྐࡎބਗ਼Ͽྟٳ༅ଆđၛႏᄎഅॖྐaຩᅟྐބຓߌູ၂ࠩᆷѓุ༢ܒࡹຩྐ༏ࡎุ༢bၛ12ົॖྐྟၹቔູൻೆཟਈđ༢ࢲܒၛຩྐ༏ྐቔູൻԛđ๙ݖטᆜ
2、ຩຉ௪ಃᇗཟਈഡᇂྐᇛ௹ཙႋࡆಃэਈሱൡႋݦඔđႵིࢆםսෘمᄎෘӮЧbٟᆇൌဒіૼđҐႨྍຩྐ༏ਗ਼ϿྟࡎଆିC2Cຩᅟྐ༏ࡎ༂ҵੱնږࡨđ༢ऎႵࢠࡲሐ໗קྟބਗ਼ϿྟđିႵི՜ࣉC2CຩࡲಆᄎྛބᅚbܱՍğBPപࣜຩĠэಃᇗĠਗ਼ϿྟĠC2CຩDOI:10.13774/j.cnki.kjtb.2014.06.037ᇏщᅣ໓"ğ്ѓང໓51ğোٳğ1001-7119č2014Ď06-0110-03AnalysisofNetworkInformationRobustnessCons
3、ideredAdaptiveChangeWeightsLiuJinzhou(ComputerEngineering,SichuanVocationalandTechnicalCollegeofCommunications,Chengdu611130,China)Abstract:BPneuralnetworkweightswereweightedintocuringcondition,itcausetheinformationcredibilityevaluationer⁃rorisbigger.Basedo
4、nvariableweightsofBPneuralnetworkadaptivenetworktopologicalstructureoftheC2Cnetworkin⁃formationcredibilityevaluationisproposed.With12dcredibilityfactorsastheinputvector,thesystemstructurewithcred⁃ibilityastheoutputofnetworkinformation,byadjustingtheweightso
5、fnetworktopologyvectorsettrustcycleresponseadaptiveweightedvariablesfunction,andeffectivelyreducetheoperationcostofiterativealgorithm.SimulationresultsshowthatthenewnetworkinformationrobustnessevaluationmodelcanmaketheC2Cwebsiteinformationevaluationerrorrat
6、edecreasedsharply,systemhasgoodrobuststabilityandrobustness,caneffectivelypromotetheC2Cnetworksoundop⁃erationanddevelopment.Keywords:BPneuralnetwork;changeweights;robustness;C2C[1]0ႄܙࠏᇅĠOlmedillaD.ิԛਔC2Cຩᅟᇏิ܂ຩྐ༏൙ದ๙ݖሱචٚླྀഅٚൔࡹଆྐ[2]C2Cຩଆൔ൞૫ཟ۱ದა۱ದᆭࡗࢌੀሰܙଆ
7、đѩࣉྛਔ༢ਗ਼Ͽྟ࣮ࠣ༢ٟᆇĠႮႿഅༀଆൔđႮႿC2Cຩष٢ྟބຩྴྟđപࣜຩဢЧဒဢЧݖӱᇏđBPപࣜຩຩྐ༏іགྷհሸگᄖđຩྐາࠏބຩྐ༏ࡆಃಃᇗӮܥ߄ሑđمડቀC2Cຩଆൔ۱ದνಆႅߑ௴ђթᄝđԮഈđٳ༏ྐຩᇁߐࢌ༏ྐࡗᆭದ۱აϿਗ਼༏ྐຩC2CႿؓ༅ಃᇗླေሱൡྟٳ༅ބࡹଆ࣮ᇶေٳູ٤ದູၹग़ุྐބႋэ߄ൌ࠽đຩྐ༏ෛࠏྟބଆྟၹԛđ[3-5]ࠎႿದૌᇶܴ؎ᇶุྐਆ۱ٚ૫bBlazeM.ᇁྐ༏ྐࡎ༂ҵࢠնbՖۀੱંٚ૫ؓྐࣉྛࡹ
8、ଆđิԛC2CຩଆູປC2Cຩᅟྐܙࠏᇅđᄹ఼༢໗ࢲܒࠣຩႨྐ༏ਗ਼Ͽྟٳ༅ଆބຩྐ༏ྐקྟđิۚࡎሙಒྟbЧ໓ิԛࠎႿBPപࣜຩ൬۠ರ௹ğ2013-05-24ࠎࣁཛଢğݓࡅሱಖ॓࿐ࠎࣁཛଢč71101137Ďbቔᆀࡥࢺğਾ࣋ᇜč1979ĒĎđଳđඹԫղཅದđණൖđࢃഽđ࣮ٚཟğ࠹ෘࠏຩb6௹ਾ࣋ᇜ.ॉ੮эಃᇗሱൡႋטᆜຩྐ༏ਗ਼Ͽྟٳ༅111эಃᇗຩຉ௪ࢲܒC2Cຩ
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