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postgraduate thesis: Modelling of nonlinear stochastic systems using neural and neurofuzzy networks

TitleModelling of nonlinear stochastic systems using neural and neurofuzzy networks
Authors
Issue Date2001
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Chan, W. [陳穎志]. (2001). Modelling of nonlinear stochastic systems using neural and neurofuzzy networks. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3124147
DegreeDoctor of Philosophy
SubjectFuzzy logic.
Neural networks (Computer science)
Stochastic analysis.
Engineering - Mathematical models.
Dept/ProgramMechanical Engineering
Persistent Identifierhttp://hdl.handle.net/10722/35477
HKU Library Item IDb3124147

 

DC FieldValueLanguage
dc.contributor.authorChan, Wing-chi.-
dc.contributor.author陳穎志-
dc.date.issued2001-
dc.identifier.citationChan, W. [陳穎志]. (2001). Modelling of nonlinear stochastic systems using neural and neurofuzzy networks. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3124147-
dc.identifier.urihttp://hdl.handle.net/10722/35477-
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/B31241475-
dc.subject.lcshFuzzy logic.-
dc.subject.lcshNeural networks (Computer science)-
dc.subject.lcshStochastic analysis.-
dc.subject.lcshEngineering - Mathematical models.-
dc.titleModelling of nonlinear stochastic systems using neural and neurofuzzy networks-
dc.typePG_Thesis-
dc.identifier.hkulb3124147-
dc.description.thesisnameDoctor of Philosophy-
dc.description.thesislevelDoctoral-
dc.description.thesisdisciplineMechanical Engineering-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.5353/th_b3124147-
dc.date.hkucongregation2001-
dc.identifier.mmsid991012436659703414-

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