A memetic fuzzy ARTMAP by a grammatical evolution approach

Tan, Shing C., Lim, Chee Peng and Watada, Junzo 2016, A memetic fuzzy ARTMAP by a grammatical evolution approach, in KES-IDT 2016 : Proceedings of the 8th KES International Conference on Intelligent Decision Technolgies, Springer, Berlin, Germany, pp. 447-456, doi: 10.1007/978-3-319-39630-9_38.

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Title A memetic fuzzy ARTMAP by a grammatical evolution approach
Author(s) Tan, Shing C.
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Watada, Junzo
Conference name Intelligent Decision Technologies. Conference (8th : 2016 : Puerto de la Cruz, Spain)
Conference location Puerto de la Cruz, Spain
Conference dates 15-17 Jun. 2016
Title of proceedings KES-IDT 2016 : Proceedings of the 8th KES International Conference on Intelligent Decision Technolgies
Editor(s) Czarnowski, Ireneusz
Mateos Caballero, Alfonso
Howlett, Robert J.
Jain, Lakhmi C.
Publication date 2016
Series Smart innovation, system and technologies v.56
Start page 447
End page 456
Total pages 10
Publisher Springer
Place of publication Berlin, Germany
Keyword(s) Grammatical evolution
Particle swarm optimization
Data classification
Summary This paper presents a memetic fuzzy ARTMAP (mFAM) model constructed using a grammatical evolution approach. mFAM performs adaptation through a global search with particle swarm optimization (PSO) as well as a local search with the FAM training algorithm. The search and adaptation processes of mFAM are governed by a set of grammatical rules. In the memetic framework, mFAM is constructed and it evolves with a combination of PSO and FAM learning in an arbitrary sequence. A benchmark study is carried out to evaluate and compare the classification performance between mFAM and other state-of-art methods. The results show the effectiveness of mFAM in providing more accurate prediction outcomes.
ISBN 9783319396293
ISSN 2190-3018
Language eng
DOI 10.1007/978-3-319-39630-9_38
Field of Research 109999 Technology not elsewhere classified
Socio Economic Objective 0 Not Applicable
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30085041

Document type: Conference Paper
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