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: Auephanwiriyakul S., Dhompongsa S.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-34250742379&partnerID=40&md5=9d305d0d9a70d181bf88f992579eacd7
http://cmuir.cmu.ac.th/handle/6653943832/1296
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-12962014-08-29T09:29:05Z An investigation of a linguistic perceptron in a nonlinear decision boundary problem Auephanwiriyakul S. Dhompongsa S. 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. 2014-08-29T09:29:05Z 2014-08-29T09:29:05Z 2006 Conference Paper 0780394887; 9780780394889 10987584 10.1109/FUZZY.2006.1681868 69808 PIFSF http://www.scopus.com/inward/record.url?eid=2-s2.0-34250742379&partnerID=40&md5=9d305d0d9a70d181bf88f992579eacd7 http://cmuir.cmu.ac.th/handle/6653943832/1296 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
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 or Workshop Item
author Auephanwiriyakul S.
Dhompongsa S.
spellingShingle Auephanwiriyakul S.
Dhompongsa S.
An investigation of a linguistic perceptron in a nonlinear decision boundary problem
author_facet Auephanwiriyakul S.
Dhompongsa S.
author_sort Auephanwiriyakul S.
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 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-34250742379&partnerID=40&md5=9d305d0d9a70d181bf88f992579eacd7
http://cmuir.cmu.ac.th/handle/6653943832/1296
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