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

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 i...

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Main Authors:	Sansanee Auephanwiriyakul, Sompong Dhompongsa
Format:	Conference Proceeding
Published:	2018
Subjects:	Computer Science Mathematics
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=34250742379&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61599
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-61599
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spelling	th-cmuir.6653943832-615992018-09-11T08:58:54Z An investigation of a linguistic perceptron in a nonlinear decision boundary problem Sansanee Auephanwiriyakul Sompong Dhompongsa Computer Science Mathematics 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. 2018-09-11T08:55:50Z 2018-09-11T08:55:50Z 2006-12-01 Conference Proceeding 10987584 2-s2.0-34250742379 10.1109/FUZZY.2006.1681868 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=34250742379&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61599
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Computer Science Mathematics
spellingShingle	Computer Science Mathematics Sansanee Auephanwiriyakul Sompong Dhompongsa An investigation of a linguistic perceptron in a nonlinear decision boundary problem
description	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.
format	Conference Proceeding
author	Sansanee Auephanwiriyakul Sompong Dhompongsa
author_facet	Sansanee Auephanwiriyakul Sompong Dhompongsa
author_sort	Sansanee Auephanwiriyakul
title	An investigation of a linguistic perceptron in a nonlinear decision boundary problem
title_short	An investigation of a linguistic perceptron in a nonlinear decision boundary problem
title_full	An investigation of a linguistic perceptron in a nonlinear decision boundary problem
title_fullStr	An investigation of a linguistic perceptron in a nonlinear decision boundary problem
title_full_unstemmed	An investigation of a linguistic perceptron in a nonlinear decision boundary problem
title_sort	investigation of a linguistic perceptron in a nonlinear decision boundary problem
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=34250742379&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61599
_version_	1681425650749014016

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

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