Fuzzy multilayer perceptron with cuckoo search

Suwannee Phitakwinai; Sansanee Auephanwiriyakul; Nipon Theera-Umpon

Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/59135

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DC Field	Value	Language
dc.contributor.author	Suwannee Phitakwinai	en_US
dc.contributor.author	Sansanee Auephanwiriyakul	en_US
dc.contributor.author	Nipon Theera-Umpon	en_US
dc.date.accessioned	2018-09-05T04:38:54Z	-
dc.date.available	2018-09-05T04:38:54Z	-
dc.date.issued	2018-07-01	en_US
dc.identifier.issn	09735763	en_US
dc.identifier.other	2-s2.0-85050159820	en_US
dc.identifier.other	10.17654/HMSI218257	en_US
dc.identifier.uri	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85050159820&origin=inward	en_US
dc.identifier.uri	http://cmuir.cmu.ac.th/jspui/handle/6653943832/59135	-
dc.description.abstract	© 2018 Pushpa Publishing House, Allahabad, India. In this paper, we propose a fuzzy multilayer perceptron with cuckoo search for fuzzy vectors. We implement this algorithm on two real-world data sets, i.e., knowledge-based evaluator data set and postoperative patient data set. We also compare the results from the fuzzy multilayer perceptron with cuckoo search with that from the regular multilayer perceptron with cuckoo search of centroid of each fuzzy attribute and numeric value mapped from each fuzzy attribute. The fuzzy multilayer perceptron with cuckoo search provides a comparable result with those on the regular multilayer perceptron with cuckoo search on real number without any defuzzification.	en_US
dc.subject	Physics and Astronomy	en_US
dc.title	Fuzzy multilayer perceptron with cuckoo search	en_US
dc.type	Journal	en_US
article.title.sourcetitle	JP Journal of Heat and Mass Transfer	en_US
article.volume	15	en_US
article.stream.affiliations	Chiang Mai University	en_US
Appears in Collections:	CMUL: Journal Articles

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