Nonlinear systems identification using support vector machines

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dc.contributor.advisorWestwick, David
dc.contributor.authorAl-Dhaifallah, Mujahed
dc.date.accessioned2017-12-18T22:01:31Z
dc.date.available2017-12-18T22:01:31Z
dc.date.issued2009
dc.descriptionBibliography: p. 130-137en
dc.format.extentxi, 137 leaves : ill. ; 30 cm.en
dc.identifier.citationAl-Dhaifallah, M. (2009). Nonlinear systems identification using support vector machines (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/3200en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/3200
dc.identifier.urihttp://hdl.handle.net/1880/104201
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.titleNonlinear systems identification using support vector machines
dc.typedoctoral thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.thesis.accessionTheses Collection 58.002:Box 1842 520502012
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen

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