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Modeling the optical properties of a polyvinyl alcohol-based composite using a particle swarm optimized support vector regression algorithm

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Main Authors: Abd Rahman, Mohd Amiruddin, Owolabi, Taoreed O.
Format: Article
Published: MDPI 2021
Online Access:http://psasir.upm.edu.my/id/eprint/94220/
https://www.mdpi.com/2073-4360/13/16/2697
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id my.upm.eprints.94220
record_format eprints
spelling my.upm.eprints.942202023-05-08T04:59:22Z http://psasir.upm.edu.my/id/eprint/94220/ Modeling the optical properties of a polyvinyl alcohol-based composite using a particle swarm optimized support vector regression algorithm Abd Rahman, Mohd Amiruddin Owolabi, Taoreed O. MDPI 2021-08-12 Article PeerReviewed Abd Rahman, Mohd Amiruddin and Owolabi, Taoreed O. (2021) Modeling the optical properties of a polyvinyl alcohol-based composite using a particle swarm optimized support vector regression algorithm. Polymers, 13 (16). art. no. 2697. pp. 1-17. ISSN 2073-4360 https://www.mdpi.com/2073-4360/13/16/2697 10.3390/polym13162697
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
format Article
author Abd Rahman, Mohd Amiruddin
Owolabi, Taoreed O.
spellingShingle Abd Rahman, Mohd Amiruddin
Owolabi, Taoreed O.
Modeling the optical properties of a polyvinyl alcohol-based composite using a particle swarm optimized support vector regression algorithm
author_facet Abd Rahman, Mohd Amiruddin
Owolabi, Taoreed O.
author_sort Abd Rahman, Mohd Amiruddin
title Modeling the optical properties of a polyvinyl alcohol-based composite using a particle swarm optimized support vector regression algorithm
title_short Modeling the optical properties of a polyvinyl alcohol-based composite using a particle swarm optimized support vector regression algorithm
title_full Modeling the optical properties of a polyvinyl alcohol-based composite using a particle swarm optimized support vector regression algorithm
title_fullStr Modeling the optical properties of a polyvinyl alcohol-based composite using a particle swarm optimized support vector regression algorithm
title_full_unstemmed Modeling the optical properties of a polyvinyl alcohol-based composite using a particle swarm optimized support vector regression algorithm
title_sort modeling the optical properties of a polyvinyl alcohol-based composite using a particle swarm optimized support vector regression algorithm
publisher MDPI
publishDate 2021
url http://psasir.upm.edu.my/id/eprint/94220/
https://www.mdpi.com/2073-4360/13/16/2697
_version_ 1768009389054099456
score 13.211869

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