Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2493
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dc.contributor.authorNguyen, Minh Nhuten
dc.date.accessioned2008-09-17T09:04:05Zen
dc.date.available2008-09-17T09:04:05Zen
dc.date.copyright2008en
dc.date.issued2008en
dc.identifier.citationNguyen, M. N. (2008). Ying-yang approach to the optimization of fuzzy cerebellar model articulation controller.Doctoral thesis, Nanyang Technological University, Singapore.en
dc.identifier.urihttps://hdl.handle.net/10356/2493en
dc.description.abstractThe 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.en
dc.rightsNanyang Technological Universityen
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligenceen
dc.titleYing-Yang approach to the optimization of fuzzy cerebellar model articulation controlleren
dc.typeThesisen
dc.contributor.supervisorShi Damingen
dc.contributor.schoolSchool of Computer Engineeringen
dc.description.degreeDOCTOR OF PHILOSOPHY (SCE)en
dc.identifier.doi10.32657/10356/2493en
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