Ying-Yang approach to the optimization of fuzzy cerebellar model articulation controller

The Cerebellar Model Articulation Controller (CMAC) neural network has attractive properties of fast learning speed and simple computation, but its rigid structure is a disadvantage. Our research aims at the fuzzification phase and the rule weighting process to improve FCMAC by Bayesian Ying-Yang (B...

Full description

Saved in:

Bibliographic Details
Main Author:	Nguyen, Minh Nhut
Other Authors:	Shi Daming
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:	https://hdl.handle.net/10356/2493
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-2493
record_format	dspace
spelling	sg-ntu-dr.10356-24932020-11-11T02:33:52Z Ying-Yang approach to the optimization of fuzzy cerebellar model articulation controller Nguyen, Minh Nhut Shi Daming School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence The Cerebellar Model Articulation Controller (CMAC) neural network has attractive properties of fast learning speed and simple computation, but its rigid structure is a disadvantage. Our research aims at the fuzzification phase and the rule weighting process to improve FCMAC by Bayesian Ying-Yang (BYY) learning, coevolution computation, and online learning. DOCTOR OF PHILOSOPHY (SCE) 2008-09-17T09:04:05Z 2008-09-17T09:04:05Z 2008 2008 Thesis Nguyen, M. N. (2008). Ying-yang approach to the optimization of fuzzy cerebellar model articulation controller.Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2493 10.32657/10356/2493 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Nguyen, Minh Nhut Ying-Yang approach to the optimization of fuzzy cerebellar model articulation controller
description	The Cerebellar Model Articulation Controller (CMAC) neural network has attractive properties of fast learning speed and simple computation, but its rigid structure is a disadvantage. Our research aims at the fuzzification phase and the rule weighting process to improve FCMAC by Bayesian Ying-Yang (BYY) learning, coevolution computation, and online learning.
author2	Shi Daming
author_facet	Shi Daming Nguyen, Minh Nhut
format	Theses and Dissertations
author	Nguyen, Minh Nhut
author_sort	Nguyen, Minh Nhut
title	Ying-Yang approach to the optimization of fuzzy cerebellar model articulation controller
title_short	Ying-Yang approach to the optimization of fuzzy cerebellar model articulation controller
title_full	Ying-Yang approach to the optimization of fuzzy cerebellar model articulation controller
title_fullStr	Ying-Yang approach to the optimization of fuzzy cerebellar model articulation controller
title_full_unstemmed	Ying-Yang approach to the optimization of fuzzy cerebellar model articulation controller
title_sort	ying-yang approach to the optimization of fuzzy cerebellar model articulation controller
publishDate	2008
url	https://hdl.handle.net/10356/2493
_version_	1688665455104884736

Ying-Yang approach to the optimization of fuzzy cerebellar model articulation controller

Similar Items