Parallel based support vector regression for empirical modeling of nonlinear chemical process systems

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Main Authors: Zabiri, Haslinda, Marappagounder, Ramasamy, Ramli, Nasser M
Format: Article
Published: Penerbit Universiti Kebangsaan Malaysia 2018
Online Access:http://scholars.utp.edu.my/id/eprint/35699/
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spelling oai:scholars.utp.edu.my:356992023-04-11T02:14:40Z http://scholars.utp.edu.my/id/eprint/35699/ Parallel based support vector regression for empirical modeling of nonlinear chemical process systems Zabiri, Haslinda Marappagounder, Ramasamy Ramli, Nasser M Penerbit Universiti Kebangsaan Malaysia 2018 Article NonPeerReviewed Zabiri, Haslinda and Marappagounder, Ramasamy and Ramli, Nasser M (2018) Parallel based support vector regression for empirical modeling of nonlinear chemical process systems. Sains Malaysiana, 47 (3). pp. 635-643.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Zabiri, Haslinda
Marappagounder, Ramasamy
Ramli, Nasser M
spellingShingle Zabiri, Haslinda
Marappagounder, Ramasamy
Ramli, Nasser M
Parallel based support vector regression for empirical modeling of nonlinear chemical process systems
author_facet Zabiri, Haslinda
Marappagounder, Ramasamy
Ramli, Nasser M
author_sort Zabiri, Haslinda
title Parallel based support vector regression for empirical modeling of nonlinear chemical process systems
title_short Parallel based support vector regression for empirical modeling of nonlinear chemical process systems
title_full Parallel based support vector regression for empirical modeling of nonlinear chemical process systems
title_fullStr Parallel based support vector regression for empirical modeling of nonlinear chemical process systems
title_full_unstemmed Parallel based support vector regression for empirical modeling of nonlinear chemical process systems
title_sort parallel based support vector regression for empirical modeling of nonlinear chemical process systems
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2018
url http://scholars.utp.edu.my/id/eprint/35699/
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score 13.214268