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Modeling Of A Stereo Vision System Using A Genetic Algorithm Based Fuzzy Linear Regression.

In this paper a fuzzy linear regression (FLR) model integrated with a genetic algorithm (GA) is proposed. The proposed GA-FLR model is applied to modeling of a stereo vision system.

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Main Authors: Hiaw, San Kho, Chee, Peng Lim, Abdul Aziz, Zalina, Abu Hassan, Anwar Hasni
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
QC1 Physics (General)
Online Access:http://eprints.usm.my/14831/1/paper7.pdf
http://eprints.usm.my/14831/
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id my.usm.eprints.14831
record_format eprints
spelling my.usm.eprints.14831 http://eprints.usm.my/14831/ Modeling Of A Stereo Vision System Using A Genetic Algorithm Based Fuzzy Linear Regression. Hiaw, San Kho Chee, Peng Lim Abdul Aziz, Zalina Abu Hassan, Anwar Hasni QC1 Physics (General) In this paper a fuzzy linear regression (FLR) model integrated with a genetic algorithm (GA) is proposed. The proposed GA-FLR model is applied to modeling of a stereo vision system. 2007 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/14831/1/paper7.pdf Hiaw, San Kho and Chee, Peng Lim and Abdul Aziz, Zalina and Abu Hassan, Anwar Hasni (2007) Modeling Of A Stereo Vision System Using A Genetic Algorithm Based Fuzzy Linear Regression. In: Proceeding Of Malaysia-Japan International Symposium On Advanced Technology 2007 (MJISAT 2007), 12-15 November 2007, Seri Pacific Hotel, Kuala Lumpur.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic QC1 Physics (General)
spellingShingle QC1 Physics (General)
Hiaw, San Kho
Chee, Peng Lim
Abdul Aziz, Zalina
Abu Hassan, Anwar Hasni
Modeling Of A Stereo Vision System Using A Genetic Algorithm Based Fuzzy Linear Regression.
description In this paper a fuzzy linear regression (FLR) model integrated with a genetic algorithm (GA) is proposed. The proposed GA-FLR model is applied to modeling of a stereo vision system.
format Conference or Workshop Item
author Hiaw, San Kho
Chee, Peng Lim
Abdul Aziz, Zalina
Abu Hassan, Anwar Hasni
author_facet Hiaw, San Kho
Chee, Peng Lim
Abdul Aziz, Zalina
Abu Hassan, Anwar Hasni
author_sort Hiaw, San Kho
title Modeling Of A Stereo Vision System Using A Genetic Algorithm Based Fuzzy Linear Regression.
title_short Modeling Of A Stereo Vision System Using A Genetic Algorithm Based Fuzzy Linear Regression.
title_full Modeling Of A Stereo Vision System Using A Genetic Algorithm Based Fuzzy Linear Regression.
title_fullStr Modeling Of A Stereo Vision System Using A Genetic Algorithm Based Fuzzy Linear Regression.
title_full_unstemmed Modeling Of A Stereo Vision System Using A Genetic Algorithm Based Fuzzy Linear Regression.
title_sort modeling of a stereo vision system using a genetic algorithm based fuzzy linear regression.
publishDate 2007
url http://eprints.usm.my/14831/1/paper7.pdf
http://eprints.usm.my/14831/
_version_ 1643702777954697216
score 13.211869

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