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1、FaultPredictionSystemBasedonNeuralNetworkModelLIBin,ZHANGWei-guo,NINGDong-fang,andYINWei(CollegeofAutomationNorthwesternPolytechnicalUniversity,Xi’an,710072)Lcpp8888@163.comAbstractFirstly,themethodologyofneuralnetworkforecastisanalyzedinthispaper;theneuralnetworkforecastInthefaultdiagnosis
2、oftheplanesteeringsurface,modelbasedonSVMisestablishedandthetrainingexactfaultpredictionisveryimportantforthesecurityarithmeticofneuralnetworkisgiven.Theneuraloftheaircraft.Accordingtodesignrequirementofthenetworkandthefaultpredictiontechniquewithexpertplanesteeringsurfacefaultpredictionsys
3、tem,thearecombinedtoformafaultpredictionsystem,whichapplicationofneuralnetworktechniqueisplanefaultisappliedinfaultpredictionofthesteeringsurfaceofpredictionispresented,andthealgorithmbasedontheplane.neuralnetworkmodelinthepredictionsystemisgiven.Consideringtheadvantageofneuralnetwork2.Netw
4、orkforecastmodelandalgorithmtechnique,theneuralnetworkandthefaultpredictiontechniquewithexpertarecombinedtoformafaultTheforecastbasedontheneuralnetworkisakindpredictionsystem.Finally,takingthesteeringsurfaceofnon-parametermodelprediction.Theneuralofplaneasanexampletorealizefaultprediction,t
5、henetworkhasstrongassociation,memoryandspreading[5]resultprovesthattheforecastmodelandalgorithmability.AnditisprovedbytheKolmogorovtheorembasedontheneuralnetworkarefeasible.thataneuralnetworkof3layersormorecanapproachanynon-linearcontinuousfunctionwithanyprecision.1.IntroductionThusensurest
6、heneuralnetworktodotimeseriespredictionbymathematics.ThebasicthoughtbasedonAsthemodernindustryandscienceandtechnologyneuralnetworkmodelforecastis:todomachinedeveloprapidly,systembecomeslarge,roboticzedandexcitationwithgivenexcitationsampleingivenintelligent.Oncefaultoccurs,losswillbeinestim
7、able.predictionprecision,tosetupthenon-linearfunctionInordertoavoidbigdamage,ascienceoffaultrelationbetweentheinputandoutputofthesystem,diagnosisisestablished.However,themethodscantherebydopredictiontouncertainsystem.onlyfindthereasonafterfaultoccurandth
