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A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems

Version 2 2024-06-04, 02:19
Version 1 2017-07-13, 10:36
conference contribution
posted on 2024-06-04, 02:19 authored by S Hassan, MA Khanesar, J Jaafar, Abbas KhosraviAbbas Khosravi
A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems

History

Pagination

155-160

Location

Budapest, Hungary

Publisher DOI

Start date

2016-10-09

End date

2016-10-12

ISSN

1062-922X

ISBN-13

9781509018970

Language

English

Author URL

Publication classification

E Conference publication, E1 Full written paper - refereed

Title of proceedings

SMC 2016: Proceedings of the Systems, Man, and Cybernetics IEEE International 2016 Conference

Event

IEEE Systems Man and Cybernetics. Conference (2016 : Budapest, Hungary)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Series

IEEE International Conference on Systems Man and Cybernetics Conference Proceedings

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    Research Publications

    Categories

    Keywords

    Computer ScienceComputer Science, CyberneticsComputer Science, Information Systemsextreme learning machinehybrid learning algorithmNSGAIIScience & TechnologyTechnologyTerms Interval type-2 fuzzy logic systemIntelligent Systems4602 Artificial intelligence

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    All Rights Reserved

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