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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| Format: | Thesis |
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2007
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| Online Access: | http://shdl.mmu.edu.my/1147/ |
| Summary: | 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. |
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