A preliminary investigation of a linguistic perceptron

For many years, one of the problems in pattern recognition is classification. There are many methods proposed to deal with this type of problem. The data sets are sometimes in the binary form (real number) and represented by vectors of binary numbers (real numbers) although there are uncertainties i...

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Main Author:	Sansanee Auephanwiriyaku
Format:	Book Series
Published:	2018
Subjects:	Biochemistry, Genetics and Molecular Biology Computer Science Mathematics
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33745585824&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62074
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Institution:	Chiang Mai University

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spelling	th-cmuir.6653943832-620742018-09-11T09:25:09Z A preliminary investigation of a linguistic perceptron Sansanee Auephanwiriyaku Biochemistry, Genetics and Molecular Biology Computer Science Mathematics For many years, one of the problems in pattern recognition is classification. There are many methods proposed to deal with this type of problem. The data sets are sometimes in the binary form (real number) and represented by vectors of binary numbers (real numbers) although there are uncertainties in the data. This study is concerned with a linguistic perceptron with vectors of fuzzy numbers as inputs. This algorithm is based on the extension principle and the decomposition theorem. A synthetic data set has been utilized to illustrate the behavior of this linguistic version of perceptron. We compare the result from the linguistic perceptron with that from the regular perceptron. © Springer-Verlag Berlin Heidelberg 2005. 2018-09-11T09:21:37Z 2018-09-11T09:21:37Z 2005-12-01 Book Series 16113349 03029743 2-s2.0-33745585824 10.1007/11589990_165 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33745585824&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62074
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Biochemistry, Genetics and Molecular Biology Computer Science Mathematics
spellingShingle	Biochemistry, Genetics and Molecular Biology Computer Science Mathematics Sansanee Auephanwiriyaku A preliminary investigation of a linguistic perceptron
description	For many years, one of the problems in pattern recognition is classification. There are many methods proposed to deal with this type of problem. The data sets are sometimes in the binary form (real number) and represented by vectors of binary numbers (real numbers) although there are uncertainties in the data. This study is concerned with a linguistic perceptron with vectors of fuzzy numbers as inputs. This algorithm is based on the extension principle and the decomposition theorem. A synthetic data set has been utilized to illustrate the behavior of this linguistic version of perceptron. We compare the result from the linguistic perceptron with that from the regular perceptron. © Springer-Verlag Berlin Heidelberg 2005.
format	Book Series
author	Sansanee Auephanwiriyaku
author_facet	Sansanee Auephanwiriyaku
author_sort	Sansanee Auephanwiriyaku
title	A preliminary investigation of a linguistic perceptron
title_short	A preliminary investigation of a linguistic perceptron
title_full	A preliminary investigation of a linguistic perceptron
title_fullStr	A preliminary investigation of a linguistic perceptron
title_full_unstemmed	A preliminary investigation of a linguistic perceptron
title_sort	preliminary investigation of a linguistic perceptron
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33745585824&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62074
_version_	1681425739283431424

A preliminary investigation of a linguistic perceptron

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