Fuzzy System Identification Using Gaussian Mixture Models

The thesis is structured into 4 major studies, each presented under a separate chapter.Chapter 1 - A theoretical bridge associating a Gaussian Mixture Model (GMM) to an additive fuzzy system is uncovered. Chapter 3 - Invoke the Jacobi vs Gauss_seidel analogy in an attempt to speed up the rate of EM...

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Main Author: Gan, Ming Tao
Format: Thesis
Published: 2007
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spelling my-mmu-ep.11472010-08-23T03:19:39Z Fuzzy System Identification Using Gaussian Mixture Models 2007-02 Gan, Ming Tao QA Mathematics The thesis is structured into 4 major studies, each presented under a separate chapter.Chapter 1 - A theoretical bridge associating a Gaussian Mixture Model (GMM) to an additive fuzzy system is uncovered. Chapter 3 - Invoke the Jacobi vs Gauss_seidel analogy in an attempt to speed up the rate of EM convergence. Chapter 4 - The theses proposes an adaptation of the EM that minimizes the average predicted error, in conjunction with maximizing likelihood. 2007-02 Thesis http://shdl.mmu.edu.my/1147/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library
institution Multimedia University
collection MMU Institutional Repository
topic QA Mathematics
spellingShingle QA Mathematics
Gan, Ming Tao
Fuzzy System Identification Using Gaussian Mixture Models
description The thesis is structured into 4 major studies, each presented under a separate chapter.Chapter 1 - A theoretical bridge associating a Gaussian Mixture Model (GMM) to an additive fuzzy system is uncovered. Chapter 3 - Invoke the Jacobi vs Gauss_seidel analogy in an attempt to speed up the rate of EM convergence. Chapter 4 - The theses proposes an adaptation of the EM that minimizes the average predicted error, in conjunction with maximizing likelihood.
format Thesis
qualification_level Master's degree
author Gan, Ming Tao
author_facet Gan, Ming Tao
author_sort Gan, Ming Tao
title Fuzzy System Identification Using Gaussian Mixture Models
title_short Fuzzy System Identification Using Gaussian Mixture Models
title_full Fuzzy System Identification Using Gaussian Mixture Models
title_fullStr Fuzzy System Identification Using Gaussian Mixture Models
title_full_unstemmed Fuzzy System Identification Using Gaussian Mixture Models
title_sort fuzzy system identification using gaussian mixture models
granting_institution Multimedia University
granting_department Research Library
publishDate 2007
_version_ 1747829301941633024