Links for fulltext
     (May Require Subscription)
Supplementary

postgraduate thesis: On modelling using radial basis function networks with structure determined by support vector regression

TitleOn modelling using radial basis function networks with structure determined by support vector regression
Authors
Advisors
Advisor(s):Chan, CW
Issue Date2004
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Choy, K. [蔡建怡]. (2004). On modelling using radial basis function networks with structure determined by support vector regression. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2932961
DegreeMaster of Philosophy
SubjectStream measurements - Mathematical models.
Algorithms.
Neural networks (Computer science)
Kernel functions.
Dept/ProgramMechanical Engineering
Persistent Identifierhttp://hdl.handle.net/10722/30821
HKU Library Item IDb2932961

 

DC FieldValueLanguage
dc.contributor.advisorChan, CW-
dc.contributor.authorChoy, Kin-yee.-
dc.contributor.author蔡建怡.-
dc.date.issued2004-
dc.identifier.citationChoy, K. [蔡建怡]. (2004). On modelling using radial basis function networks with structure determined by support vector regression. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b2932961-
dc.identifier.urihttp://hdl.handle.net/10722/30821-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.source.urihttp://hub.hku.hk/bib/B29329619-
dc.subject.lcshStream measurements - Mathematical models.-
dc.subject.lcshAlgorithms.-
dc.subject.lcshNeural networks (Computer science)-
dc.subject.lcshKernel functions.-
dc.titleOn modelling using radial basis function networks with structure determined by support vector regression-
dc.typePG_Thesis-
dc.identifier.hkulb2932961-
dc.description.thesisnameMaster of Philosophy-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineMechanical Engineering-
dc.description.naturepublished_or_final_version-
dc.description.natureabstract-
dc.description.naturetoc-
dc.identifier.doi10.5353/th_b2932961-
dc.date.hkucongregation2004-
dc.identifier.mmsid991008330549703414-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats