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简介：BPandRBFneuralnetworktopredictforeststockvolumewerestudied,butthestudyinevaluatingbothnetworks’applicationeffectswasnotconducted.Inordertofindahigherforecastprecision,morestrongapplicativemethod,thecomprehensiveanalysisandevaluationonthetwomethodswerecarriedoutinthepracticalapplication.Bythecorrelationanalysis,crowndensity,shady-slopeandsunny-slope,TM1,TM2,TM3,TM5,TM7,NDVI,TM,(4-3),TM4/3wereselectedasinputvariables,andtheforestvolumeofMiyunCountyasoutputvariables,RBFandBPneuralnetworkmodelsforforecastingtheforestvolumewereestablished.Andtheneuralnetworktrainingsteplength,trainingtime,predictionaccuracyandtheapplicabilitymodelofthetwomethodswerecomprehensivelyanalyzed.TheresultsshowthattheRBFneuralnetworkmodelissuperiortotheBPneuralnetworkmodel.

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简介：Afuzzyneuralnetworkcontrollerforunderwatervehicleshasmanyparametersdifficulttotunemanually.Toreducethenumerousworkandsubjectiveuncertaintiesinmanualadjustments,ahybridparticleswarmoptimization(HPSO)algorithmbasedonimmunetheoryandnonlineardecreasinginertiaweight(NDIW)strategyisproposed.OwingtotherestraintfactorandNDIWstrategy,anHPSOalgorithmcaneffectivelypreventprematureconvergenceandkeepbalancebetweenglobalandlocalsearchingabilities.Meanwhile,thealgorithmmaintainstheabilityofhandlingmultimodalandmultidimensionalproblems.TheHPSOalgorithmhasthefastestconvergencevelocityandfindsthebestsolutionscomparedtoGA,IGA,andbasicPSOalgorithminsimulationexperiments.ExperimentalresultsontheAUVsimulationplatformshowthatHPSO-basedcontrollersperformwellandhavestrongabilitiesagainstcurrentdisturbance.ItcanthusbeconcludedthattheproposedalgorithmisfeasibleforapplicationtoAUVs.

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简介：Amethodologyisproposedtohandleproblemthatunderequiprobleaddressofpackettrafficattheinputport,GeneralizedShuffle-ExchangeNetwork(GSEN)routestrafficunevenlybecauseoftheunbalancedroutingtags.Theideaistouseroutingtagaccordingtoprobability,whichcanbeevaluatedbyusingMoore-Penroseinverseinmatrixanalysis.Aninstanceisusedtoillustratetheidea,andthesimulationisdonetoshowtheimprovementinperformanceissues.

简介：ThecharacteristicofEDFAinWDMsystemisanalyzed.ThesimulationsystembasedonthearchitectureoftheChinaInformationNetwork(CAINONET)isintroduced,andtheinfluenceofnoisefigure,gainunflatnessandoutputpowerofEDFAontheBERperformanceandscaleofnetworkisinvestigated.Moreover,theinfluenceofnoisefigureisstudiedwithdifferentcrosstalk.Meanwhile,itisindicatedthatitisimportanttoapplythe"nodeisolationprinciple"intheopticalnetwork.Theresearchresultscanprovidethevaluablereferenceforthepracticalconstructionofallopticalnetwork.

简介：ＦＯＲＵＭＯＮ“ＷＯＭＥＮＡＮＤＳＯＣＩＡＬＦＯＲＥＳＴＲＹ”ＨＥＬＤＢＹＴＨＥＦＯＲＥＳＴＲＹＡＮＤＳＯＣＩＥＴＹＮＥＴＷＯＲＫ￥ＢｙＬｉＷｅｉｃｈａｎｇＡｆｏｒｕｍｏｎ＂ＷｏｍｅｎａｎｄＳｏｃｉａｌＦｏｒｅｓｔｒｙ＂ｗａｓｈｅｌｄａｔｔｈｅＩｎｓ...

简介：Anopticalsignal-to-noiseratio(OSNR)awarelightpathprovisioningmechanism(OSNR-LPM)isproposedfordistributedopticalnetworks.ThisOSNR-LPMtakestheOSNRvalueofthelightwavealongthelightpathintoconsiderationwhenestablishingthelightpathfortheconnectionrequestusingresourcereservationprotocol-trafficengineering(RSVP-TE).Moreover,theOSNR-LPMmakesfulladvantagesoftheOSNRmonitoringfunctionineachnodeandassignsthelightwavebyjudgingtheOSNRvaluecarriedbythesignalingmessageinordertoguaranteethereliableestablishmentofthelightpathinthedataplane.ThesimulationresultsshowthattheOSNR-LPMoutperformsotherlightpathassignmentmechanismsintermsofrealblockingprobabilityinthedataplane.

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简介：InthispapertheΔ-Ytransformationofalinearelectriccircuitisintroducedtosimplifythecomputationofnetradiantheatexchangeonasurfaceofanenclosurewiththreesurfaces.Theillustrationofthetransformationisgivenbysolvingsixproblemstakenfromthetextbooks.Somediscussionconcerningthepossibilityofextendingthetransformationmethodtoenclosureswithmorethanthreesurfaces,andtheconditionforapplyingthenetworkmethodarealsopresented.

简介：Thispaperdescribesamodifiedspeed-sensorlesscontrolforinductionmotor(IM)basedonspacevectorpulsewidthmodulationandneuralnetwork.AnElmanANNmethodtoidentifytheIMspeedisproposed,withIMparametersemployedasassociatedelements.TheBPalgorithmisusedtoprovideanadaptiveestimationofthemotorspeed.Theeffectivenessoftheproposedmethodisverifiedbysimulationresults.TheimplementationonTMS320F240fixedDSPisprovided.

简介：Anovelcomplex,[Cu2(phen)(sal)(Hsal)2]n(1),wassynthesizedandstructurallycharacterized.Thebasicdimericunitsareholdbysalligandsandextendedinto1-Dnetwork.Thecarboxylategrougsofsalicylatescoordinatetothecentralioninthreedifferentcoordinationmodes:chelating,bridgingandbridging-chelating.Inthecaseofbridging-chelatingofthecarboxylategroupofthesalicylate,allthreeoxygenatomsofsalicylatearebidentatelycoordinatedtocopperion,namely,μ4-η^3bindingmode.

简介：InthispaperweconsideraMarkovchainmodelinanATMnetwork,whichhasbeenstudiedbyDagandStavrakakis.OnthebasisoftheiterativeformulasobtainedbyDagandStavrakakis,weobtaintheexplicitanalyticalexpressionofthetransitionprobabilitymatrix.ItisverysimpletocalculatethetransitionprobabilitiesoftheMarkovchainbytheseexpressions.Inaddition,weobtainsomeresultsaboutthestructureofthetransitionprobabilitymatrix,whicharehelpfulinnumericalcalculationandtheoreticalanalysis.

简介：Anewsystemisdevelopedtorecognizepromotersequencesfromnon-promotersequencesbasedonpositionweightmatrixandbackpropagationneuralnetworkinthispaper.Thesystemperformssignificantlybetteronthetrainingsetandthetestset,themeanrecognitionrateisashighas99%onthetrainingsetand97%onthetestingset.Experimentalresultsdemonstratetheeffectivenessofthesystemtorecognizethepromotersequencesthathavebeentrainedandthepromotersequencesthathavenotbeenseenpreviously.

简介：OnJanuary10,ademonstrationprojectofSGCCinZhejiangProvinceforelectricvehicles-asmartcharging&exchangingservicenetworksuccessfullypassedthescientific&technologicalachievementinspectionorganizedbyChinaElectricityCouncilinHangzhou,whichturnsouttobethefirsttrans-cityinterconnectedsmartcharging&exchangingserviceoftheworldandsignifiesitsleadinglevelinternationally.