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Ellipsoid -based unit of the network while Rotating Machinery Diagnosis
, ChicagotIllinoisUS · AtI9906KriSN,tory burch outlet, VenkatasubramanianVRepresentingboundedfaultclassesumgneuralnetworks 【 hel-lipsoidaIactivationfunotions. ComputersinChemicalEngineeringt1993; Y (2): l39-1637PaoY. Adaptivepatternrecognitionandneuralnetworks. NewYork: A & ision-Weslylne,jordan shoes, 1989MultipleFaultSimultaneousBasedonEttipsoidalDiagnosisforR ~ tatingMachineUnitNeuralNeworksHeYongyongZhongBininHuangH (DepartmentofMechanicalEngineering,Oakley juliet, SoutheastUniversityNanjingt210096) AbstractTooercomethelimitationsofthestandardfeedforwardneur ~ ttworks, anewsortofhigh-or-derneuraInetworks (i.e.eltipsoidalunitnetworks) haeenproposedrecttly, whichisverysuitableforfauItdiamosisapplicationsduetoitoundedgeneralizationandextrapotion-Inthispapertthetheoryandstructu to 0fsuchnetworksaredescribed. amethodforinitializinghypellipsoidsispropo ~ d,ed hardy vaatteet, andthetrainingalgorithmisgivenbasedonstandardbackpropagatlonalgorithmlen · basedonsuchnetworks · ahierarchicaIdiagnosisnetwork (HDANN) isproposedwithrespecttomult'efaultsimultaneousdiagnosisforr0tati He Yongyong male doctoral students of t
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