Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/61599
Title: An investigation of a linguistic perceptron in a nonlinear decision boundary problem
Authors: Sansanee Auephanwiriyakul
Sompong Dhompongsa
Keywords: Computer Science
Mathematics
Issue Date: 1-Dec-2006
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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=34250742379&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/61599
ISSN: 10987584
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.