Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2493
Title: Ying-Yang approach to the optimization of fuzzy cerebellar model articulation controller
Authors: Nguyen, Minh Nhut
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2008
Source: Nguyen, M. N. (2008). Ying-yang approach to the optimization of fuzzy cerebellar model articulation controller.Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: 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.
URI: https://hdl.handle.net/10356/2493
DOI: 10.32657/10356/2493
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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