Response surface methodology and artificial neural network for optimization and modeling the photodegradation of organic pollutants in water

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Main Authors: Boutra, B, Sebti, A, Trari, M
Format: Article
Published: Springer 2022
Online Access:http://scholars.utp.edu.my/id/eprint/34804/
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spelling oai:scholars.utp.edu.my:348042023-03-20T03:46:06Z http://scholars.utp.edu.my/id/eprint/34804/ Response surface methodology and artificial neural network for optimization and modeling the photodegradation of organic pollutants in water Boutra, B Sebti, A Trari, M Springer 2022 Article NonPeerReviewed Boutra, B and Sebti, A and Trari, M (2022) Response surface methodology and artificial neural network for optimization and modeling the photodegradation of organic pollutants in water. International Journal of Environmental Science and Technology, 19 (11). pp. 11263-11278.
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 Boutra, B
Sebti, A
Trari, M
spellingShingle Boutra, B
Sebti, A
Trari, M
Response surface methodology and artificial neural network for optimization and modeling the photodegradation of organic pollutants in water
author_facet Boutra, B
Sebti, A
Trari, M
author_sort Boutra, B
title Response surface methodology and artificial neural network for optimization and modeling the photodegradation of organic pollutants in water
title_short Response surface methodology and artificial neural network for optimization and modeling the photodegradation of organic pollutants in water
title_full Response surface methodology and artificial neural network for optimization and modeling the photodegradation of organic pollutants in water
title_fullStr Response surface methodology and artificial neural network for optimization and modeling the photodegradation of organic pollutants in water
title_full_unstemmed Response surface methodology and artificial neural network for optimization and modeling the photodegradation of organic pollutants in water
title_sort response surface methodology and artificial neural network for optimization and modeling the photodegradation of organic pollutants in water
publisher Springer
publishDate 2022
url http://scholars.utp.edu.my/id/eprint/34804/
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score 13.244413