简介：TheMTD(mixturetransitiondistribution)modelbasedonWeibulldistribution(WMTDmodel)isproposedinthispaper,whichisaimedatitsparameterestimation.AnEMalgorithmforestimationisgivenandshowntoworkwellbysomesimulations.Andbootstrapmethodisusedtoobtainconfidenceregionsfortheparameters.Finally,theresultsofarealexample-predictingstockprices-showthattheWMTDmodelproposedisabletocapturethefeaturesofthedatafromthick-taileddistributionbetterthanGMTD(mixturetransitiondistribution)model.

简介：Thisarticleinvestigatesthefractionalderivativeorderidentification,thecoefficientidentification,andthesourceidentificationinthefractionaldiffusionproblems.If1<α<2,weprovetheuniquedeterminationofthefractionalderivativeorderandthediffusioncoefficientp(x)by∫t0u(0,s)ds,0

简介：

简介：BasedonexactGreenstrainofspatialcurvedbeam,thenonlinearstrain-displacementrelationforplanecurvedbeamwithvaryingcurvatureisderived.Insteadofusingthepreviousstraightbeamelements,curvedbeamelementsareusedtoapproximatethecurvedbeamwithvaryingcurvature.Basedonvirtualworkprinciple,rigid-flexiblecouplingdynamicequationsareobtained.Physicalexperimentswerecarriedouttocapturethelargeoverallmotionandthestrainofcurvedbeamtoverifythepresentrigid-flexiblecouplingformulationforcurvedbeambasedoncurvedbeamelement.Numericalresultsobtainedfromsimulationswerecomparedwiththoseresultsfromthephysicalexperiments.Inordertoillustratetheeffectivenessofthecurvedbeamelementmethodology,thesimulationresultsofpresentcurvedbeamelementsarecomparedwiththoseobtainedbypreviousstraightbeamelements.Thedynamicbehaviorofaslider-crankmechanismwithaninitiallycurvedelasticconnectingrodisinvestigated.Theadvantageofemployinggeneralized-αmethodispointedoutandthespecialnonlineardynamiccharacteristicsofthecurvedbeamareconcluded.

简介：Inthispaper,thetheoremsconcerningthesummationofFourierserieswithparameteraregivenbyusingtheLaplacetransforms.BymeansoftheknownresultofLaplacetransforms,manynew,importantproblemsofsummationofFourierserieswithparameterinmechanicscanbesolved.

简介：ThispaperconstructsaclassofHarish-Chandramoduleswithmultiplicity＜-1ofthetwoparameterdeformationofVirasoroalgebraandprovesaclassificationtheorem.

简介：

简介：

简介：BasedontheFenlon‘stheorytheparametriceffectsinfluidsduetothenonlinearinteractionofalowfrequencypumpingwaveandahighfrequencyprobingwaveareanalysed.TheexpressionsofpressureamplitudeofsumordifferencefrequencysidebandandthefromulaofnonlinearityparameterB/Aforlossymediumarederived.Theoreticalcalculationdemonstrated,thatthesidebandcomponentsincreaselinearlywithpumpsignal.Therefore,amethodfordeterminationofB/Aisprovidedandtheval-uesforseveralbiologicalfluidsandmixturesaremeasured.

简介：

简介：Parameteridentificationproblemisoneofessentialprobleminordertomodeleffectivelyexperimentaldatabyfractalinterpolationfunction.Inthispaper,wefirstpresentanexampletoexplainarelationshipbetweeniterationprocedureandfractalfunction.Thenwediscussconditionsthatverticalscalingfactorsmustobeyinonetypicalcase.

简介：Inthispaper,weshallproposeamethodtosolvetheproblemforthevaryinglawofthelargestvelocityofstep-roekets.

简介：Veryrecently,Yu,LeandZhouintroducedthesocalledΔ*B1andΔ*B2conditions,whicharegeneralizationsofthemonotonecondition.Byapplyingthesetwonewconditions,theauthoressentiallygeneralizestheclassicalresultsofChenonthenecessaryandsufficientconditionsoftheLpintegrabilityoftrigonometricseries.Infact,thepresentpapergivesthefirstresultonthenecessaryandsufficientconditionsoftheLpintegrabilityoftrigonometricseries,wherecoefficientsmayhavediffierentsigns.

简介：我们建议被用来在single-j壳的Hamiltonian决定联合参数C的一个修改公式。与以前已知的公式比较，新公式改进在入侵者single-j层次和尼尔逊之间的协议。为在粒子转子模型以内的chiral乐队的研究，新联合参数将更加影响在马甲乐队之间切开的精力。

简介：Electricaldischargemachining(EDM)process,atpresentisstillanexperienceprocess,whereinselectedparametersareoftenfarfromtheoptimum,andatthesametimeselectingoptimizationparametersiscostlyandtimeconsuming.Inthispaper,artificialneuralnetwork(ANN)andgeneticalgorithm(GA)areusedtogethertoestablishtheparameteroptimizationmodel.AnANNmodelwhichadaptsLevenberg-Marquardtalgorithmhasbeensetuptorepresenttherelationshipbetweenmaterialremovalrate(MRR)andinputparameters,andGAisusedtooptimizeparameters,sothatoptimizationresultsareobtained.Themodelisshowntobeeffective,andMRRisimprovedusingoptimizedmachiningparameters.

简介：Inthispaper,anewestimatoroftheshapeparameterinthefamilyofGammadistributionisconstructedbyusingthemomentidea,anditisprovedthatthisestimatorisstronglyconsistentandasymptoticallynormal.

简介：Robustparameterdesign(RPD)isanimportantissueinexperimentaldesigns.Ifallexperimentalrunscannotbeperformedunderhomogeneousconditions,blockingtheunitsisefective.Inthispaper,weobtainthecorrespondencerelationbetweenfractionalfactorialRPDsandtheblockingschemesforfullfactorialRPDs.Inaddition,weprovideaconstructionofoptimalblockingschemesthatmakeallmainefectsandcontrol-by-noisetwo-factorinteractionsestimable.

简介：

简介：Inthispaper,weproposeadiscrepancyrule-basedmethodtoautomaticallychoosetheregularizationparametersfortotalvariationimagerestorationproblems.Theregularizationparametersareadjusteddynamicallyineachiteration.Numericalresultsareshowntoillustratetheperformanceoftheproposedmethod.

简介：Theboundedparameterestimationproblemanditssolutionleadtomoiemeaningfulresults.Itssuperiorperformanceisduetothefactthatthenewmethodguaranteesthattheeffectoftheuncertaintieswillneverbeunnecessarilyoverestimated.Wethenconsiderhowtoupdateanddowndatetheboundedparameterestimationproblem.WhenupdatinganddowndatingofSVDareusedtothenewproblem,specialtechnologiesaretakentoavoidformingUandVexplicitly,thenincreasethealgorithmperformance.BecauseofthelinkbetweentheboundedparameterestimationandTikhonovregularizationprocedure,wepointoutthatouralgorithmscanalsobeusedtomodifyregularizationproblem.