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dc.contributor.authorFerreiro García, Ramón
dc.contributor.authorVidal Paz, José
dc.contributor.authorPardo, Xoán C.
dc.date.accessioned2005-12-21T16:39:45Z
dc.date.available2005-12-21T16:39:45Z
dc.date.issued1998
dc.identifier.citationComputational Mechanics : new trends and applications, edited by Sergio R. Idelsohn, Eugenio Oñate, Eduardo N. Dvorkin (CD-ROM)es_ES
dc.identifier.isbn84-89925-15-1
dc.identifier.urihttp://hdl.handle.net/2183/462
dc.description4th World Congress on Computational Mechanics, 1998, Buenos Aires, Argentinaes_ES
dc.description.abstract[Abstract] This work describes a novel algorithmic approach to find the linear model of any dynamic process. Dynamic behaviour as a knowledge concept is acquired by means of proposed learning algorithm, being supported by DAM (deterministic associative memory) system. Depending on the particular use of process model, (system simulation, control design, reproduction of dynamic behaviour, parameter identification, plant diagnosis...) information to and from DAM will be stored and retrieved as demanded from a particular application by applying the proposed algorithmic methodologyes_ES
dc.format.mimetypeapplication/pdf
dc.language.isoenges_ES
dc.publisherCIMNE, Barcelonaes_ES
dc.subjectDeterministic associative memoryes_ES
dc.subjectClusteringes_ES
dc.subjectMappinges_ES
dc.subjectLearning algorithmes_ES
dc.subjectParameter identificationes_ES
dc.titleThe linear model of an unknown dynamic processes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES


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