简介:OBLCDOMAINDECOMPOSITIONFORARTIFICIALCOMPRESSIBLEEQUATIONLinMingsen(林明森);HuangLanchieh(黄兰洁)(ReceivedDec.17,1994;Communicatedby...
简介:一个不安方法为解决非线性的Korteweg-deVries(KdV)在动态系统的上下文被介绍方程。最好的效率为很少perturbative修正被获得。它被看那,这条途径的集中的问题完全这里被保证,因为在系列包括的一小部分术语能描述一个足够的准确答案。有quintic花键的答案的比较,;有限差别被介绍。
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简介:Theartificialboundarymethodisappliedtosolvethree-dimensionalexteriorproblems.Twokindofrotatingellipsoidsarechosenastheartificialboundariesandtheexactarti-ficialboundaryconditionsarederivedexplicitlyintermsofaninfiniteseries.Thenthewell-posednessofthecoupledvariationalproblemisobtained.Itisfoundthaterroresti-matesderiveddependonthemeshsize,truncationtermandthelocationoftheartificialboundary.Threenumericalexamplesarepresentedtodemonstratetheeffectivenessandaccuracyoftheproposedmethod.
简介:Thelifetimeofanartificialsatellitemovinginthecircularorbitundertheactionofnonuniformrotatingatmosphericdragisstudiedfromanenergypointofviewinthispaper.Theangularvelocityofatmosphericrotationdecreaseswithheightaccordingtohydrodynamics.Theatmosphericdensitydecreaseswithheightaccordingtotheexponentialformula.Theexpressionforthelifetimeofasatelliteintheinstantaneouscircularorbitintheabove-mentionedrotatingatmosphericmodelisderived,andthenumericalestimationforthelifetimeofaconcretesatellitehasbeenmade.Theresultshowsclearlythatthesatellitelifetimecalculatedbythispaperisshorterthanthatcalculatedbytheuniformrotatingatmosphericmodel.
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简介:AfiniteelementmethodforthesolutionofOseenequationinexteriordomainisproposed.Inthismethod,acircularartificialboundaryisintroducedtomakethecomputationaldomainfinite.Then,theexactrelationbetweenthenormalstressandtheprescribedvelocityfieldontheartificialboundarycanbeobtainedanalytically.Thisrelationcanserveasanboundaryconditionfortheboundaryvalueproblemdefinedonthefinitedomainboundedbytheartificialboundary.Numericalexperimentispresentedtodemonstratetheperformanceofthemethod.
简介:Three—layerback—propagationneuralnetworkswereusedforprocessingtheinformationprovidedbytheultravioletspectraoffive—componentmixtures,affectingthesimultaneousdeterminationofthecomponentswithsatisfactoryresults.
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简介:Thenon-linearrelationshipsbetweenthecontentsofginsenosideRg1,Rb1,RdandPanaxnotoginsengsaponins(PNS)inPanaxnotoginsengrootherbandthenearinfrared(NIR)diffusereflectancespectraoftheherbwereestablishedbymeansofartificialneuralnetworks(ANNs).Fourthree-layeredperceptionfeed-forwardnetworksweretrainedwithanerrorback-propagationalgorithm.ThesignificantprincipalcomponentsoftheNIRspectraldatamatrixwereutilizedastheinputofthenetworks.Thenetworksarchitectureandparameterswereselectedsoastoofferlesspredictionerrors.RelativepredictionerrorsforRg1,Rb1,RdandPNSobtainedwiththeoptimumANNmodelswere8.99%,6.54%,8.29%,and5.17%,respectively,whichweresuperiortothoseobtainedwithPLSRmethods.ItisverifiedthatANNisasuitableapproachtomodelthiscomplexnon-linearity.Thedevelopedmethodisfast,non-destructiveandaccurateanditprovidesanewefficientapproachfordeterminingtheactivecomponentsinthecomplexsystemofnaturalherbs.
简介:Inthispaper,weproposeanovelapproachtoachievespectrumprediction,parameterfitting,inversedesign,andperformanceoptimizationfortheplasmonicwaveguide-coupledwithcavitiesstructure(PWCCS)basedonartificialneuralnetworks(ANNs).TheFanoresonanceandplasmon-inducedtransparencyeffectoriginatedfromthePWCCShavebeenselectedasillustrationstoverifytheeffectivenessofANNs.WeusethegeneticalgorithmtodesignthenetworkarchitectureandselectthehyperparametersforANNs.OnceANNsaretrainedbyusingasmallsamplingofthedatageneratedbytheMonteCarlomethod,thetransmissionspectrapredictedbytheANNsarequiteapproximatetothesimulatedresults.Thephysicalmechanismsbehindthephenomenaarediscussedtheoretically,andtheuncertainparametersinthetheoreticalmodelsarefittedbyutilizingthetrainedANNs.Moreimportantly,ourresultsdemonstratethatthismodel-drivenmethodnotonlyrealizestheinversedesignofthePWCCSwithhighprecisionbutalsooptimizessomecriticalperformancemetricsforthetransmissionspectrum.Comparedwithpreviousworks,weconstructanovelmodel-drivenanalysismethodforthePWCCSthatisexpectedtohavesignificantapplicationsinthedevicedesign,performanceoptimization,variabilityanalysis,defectdetection,theoreticalmodeling,opticalinterconnects,andsoon.
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