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dc.contributor.advisorDavid Di Ruscio
dc.contributor.authorHegg, Morten
dc.date.accessioned2021-07-22T16:12:11Z
dc.date.issued2021
dc.identifierno.usn:wiseflow:2636125:43485487
dc.identifier.urihttps://hdl.handle.net/11250/2765103
dc.descriptionFull text not available
dc.description.abstractIn this thesis we look at the difference of OLS and RLS methods for estimation of system values and coefficient. Estimating system values using different methods such as, ssregest, DSR, DSR-E etc. Lastly looking at what Machine Learning is, the different types of Machine Learning with some references to previous talked about methods and in what fields these different types of Machine Learning methods are used.
dc.description.abstract
dc.languageeng
dc.publisherUniversity of South-Eastern Norway
dc.titleRegularization and Machine Learning Features in the System Identification Toolbox and similar MATLAB functions
dc.typeMaster thesis


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