An investigation of a linguistic perceptron in a nonlinear decision boundary problem

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DC Field	Value	Language
dc.contributor.author	Sansanee Auephanwiriyakul	en_US
dc.contributor.author	Sompong Dhompongsa	en_US
dc.date.accessioned	2018-09-11T08:55:50Z	-
dc.date.available	2018-09-11T08:55:50Z	-
dc.date.issued	2006-12-01	en_US
dc.identifier.issn	10987584	en_US
dc.identifier.other	2-s2.0-34250742379	en_US
dc.identifier.other	10.1109/FUZZY.2006.1681868	en_US
dc.identifier.uri	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=34250742379&origin=inward	en_US
dc.identifier.uri	http://cmuir.cmu.ac.th/jspui/handle/6653943832/61599	-
dc.description.abstract	We have developed a linguistic perceptron (LP) to deal with the problem in pattern recognition where inputs are uncertain. This algorithm is based on the extension principle and the decomposition theorem. Several synthetic data sets are used to illustrate the behavior of this linguistic perceptron in linearly separable, nonlinearly separable and nonseparable situations. We also compare the results from the linguistic perceptron with that from the regular perceptron. © 2006 IEEE.	en_US
dc.subject	Computer Science	en_US
dc.subject	Mathematics	en_US
dc.title	An investigation of a linguistic perceptron in a nonlinear decision boundary problem	en_US
dc.type	Conference Proceeding	en_US
article.title.sourcetitle	IEEE International Conference on Fuzzy Systems	en_US
article.stream.affiliations	Chiang Mai University	en_US
Appears in Collections:	CMUL: Journal Articles

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