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putparametricmodelsfortmnlinearsystems. Pan1: I) eterministec groan n-linearsystems: Part2: Stochasticnon-linearsystems,ugg boots billig, Im. JControl1985.41 (3) :303-3443BhatN, MeAvoyTJ. UseofneuralnetsfordynamicmodelingandcontrolofchemicalprocessystemsCornputer & ChemEng, 1990,14 (5): 573 ~ 5834ChenS. BillingsSA. GrantPMNon-linearsystemidentificationusingneuratnetworks. Im. J. Control, 1990,ugg milano,5 l (6): 1191 ~ 12145NarendrlKS. Partha ~ arathyKIden0ficatidnand ~ t: ontrolofdynamicsystemusingneuralnetworks. IEEE, traI1s. NN, 1990, l (1) 4 ~ 276SrinivasanB. PrasadUR, Yong ∞ NjBackpropagationthroughadjoimsfortheidentification01nonlineardy-namicsystemsusingrecurvelltneuxalmodels. IEEEtransNN. 1994.5 (2): 213 ~ 2287 Wangke Jun, Li Dianpu,ugg stivali, Li Guobin A linear system of neural network recognition of Chinese Control Conference. 1994:593 ~ 5998 Wang Kejun. Several theoretical issues neural network research and the ship rolling modeling and forecasting: [Dissertation] Harbin: Harbin Engineering University. 199 510. I18 ~ 1259HornikKApproxinmtioncapabilitiesofmulfilayerfeedforwardnetworkNeuralNetworks, 1991,stivali ugg,4:251 ~ 257TheStructuresandFeasibilityofUsingNeuralNetworksfortheIdentificationofNonlinearDynamicSystemsWangKejenLiGeobinLiDianpu (Dept.ofAutomaticContro1.HarbinEngin ~ ringUniversity, Harbin150001) AbstractInthispaper, bas. Mondiscussingavarietyofmodelsfortheidentificationofnonlin-eardynamicsystems,tory burch, theneuralnetworkmethodsforthesemodelsaregiven. Anovelneuralnetworkstructure-theneura1networkstatespaceidentificationmode1fortherecurrentstatemodelofnonlineardynamicsystems, isproposed. Thefeasibilityofusingneuralnetworksfortheidentificationofflonlineardynamicsystemsisprovedwiththeappmximativetheoriesofneu [alnetworks. Keywordsneuralnetworks; nonlineardynamicsystem; identification 相关的主题文章： ugg stivali On the Evaluation and Expression of Un ugg italia Comparison of several heating methods _389 true religion jeans An Yi S-1 temperature sensitive sterility in strong expressi |
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