A parallel inertial S-iteration forward-backward algorithm for regression and classification problems

A parallel inertial S-iteration forward-backward algorithm for regression and classification problems

© 2020, SINUS Association. All rights reserved. In this paper, a novel algorithm, called parallel inertial S-iteration forward-backward algorithm (PISFBA) is proposed for finding a common fixed point of a countable family of nonexpansive mappings and convergence behavior of PISFBA is analyzed and di...

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Main Authors: Limpapat Bussaban, Suthep Suantai, Attapol Kaewkhao
Format: Journal
Published: 2020
Subjects:
Mathematics
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082410307&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70734
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Institution: Chiang Mai University
id th-cmuir.6653943832-70734
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spelling th-cmuir.6653943832-707342020-10-14T08:40:10Z A parallel inertial S-iteration forward-backward algorithm for regression and classification problems Limpapat Bussaban Suthep Suantai Attapol Kaewkhao Mathematics © 2020, SINUS Association. All rights reserved. In this paper, a novel algorithm, called parallel inertial S-iteration forward-backward algorithm (PISFBA) is proposed for finding a common fixed point of a countable family of nonexpansive mappings and convergence behavior of PISFBA is analyzed and discussed. As applications, we apply PISFBA to estimate the weight connecting the hidden layer and output layer in a regularized extreme learning machine. Finally, the proposed learning algorithm is applied to solve regression and data classification problems. 2020-10-14T08:40:10Z 2020-10-14T08:40:10Z 2020-01-01 Journal 18434401 15842851 2-s2.0-85082410307 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082410307&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70734
institution Chiang Mai University
building Chiang Mai University Library
continent Asia
country Thailand
Thailand
content_provider Chiang Mai University Library
collection CMU Intellectual Repository
topic Mathematics
spellingShingle Mathematics
Limpapat Bussaban
Suthep Suantai
Attapol Kaewkhao
A parallel inertial S-iteration forward-backward algorithm for regression and classification problems
description © 2020, SINUS Association. All rights reserved. In this paper, a novel algorithm, called parallel inertial S-iteration forward-backward algorithm (PISFBA) is proposed for finding a common fixed point of a countable family of nonexpansive mappings and convergence behavior of PISFBA is analyzed and discussed. As applications, we apply PISFBA to estimate the weight connecting the hidden layer and output layer in a regularized extreme learning machine. Finally, the proposed learning algorithm is applied to solve regression and data classification problems.
format Journal
author Limpapat Bussaban
Suthep Suantai
Attapol Kaewkhao
author_facet Limpapat Bussaban
Suthep Suantai
Attapol Kaewkhao
author_sort Limpapat Bussaban
title A parallel inertial S-iteration forward-backward algorithm for regression and classification problems
title_short A parallel inertial S-iteration forward-backward algorithm for regression and classification problems
title_full A parallel inertial S-iteration forward-backward algorithm for regression and classification problems
title_fullStr A parallel inertial S-iteration forward-backward algorithm for regression and classification problems
title_full_unstemmed A parallel inertial S-iteration forward-backward algorithm for regression and classification problems
title_sort parallel inertial s-iteration forward-backward algorithm for regression and classification problems
publishDate 2020
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082410307&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70734
_version_ 1681752956493365248

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