Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm

Hassan, Saima, Khanesar, Mojtaba Ahmadieh, Jaafar, Jafreezal and Khosravi, Abbas 2018, Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm, Neural computing and applications, vol. 29, no. 4, pp. 1001-1014, doi: 10.1007/s00521-016-2503-5.

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Title Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm
Author(s) Hassan, Saima
Khanesar, Mojtaba Ahmadieh
Jaafar, Jafreezal
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Journal name Neural computing and applications
Volume number 29
Issue number 4
Start page 1001
End page 1014
Total pages 14
Publisher Springer Verlag
Place of publication Berlin, Germany
Publication date 2018-02
ISSN 0941-0643
Keyword(s) Interval type 2 fuzzy logic systems
Optimal parameters
Hybrid learning
Artificial bee colony
Extreme learning machine
Language eng
DOI 10.1007/s00521-016-2503-5
Field of Research 099999 Engineering not elsewhere classified
0801 Artificial Intelligence And Image Processing
1702 Cognitive Science
Socio Economic Objective 0 Not Applicable
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2016, The Natural Computing Applications Forum
Persistent URL http://hdl.handle.net/10536/DRO/DU:30087391

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
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