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Predicting the Efficiency of the Oil Removal from Surfactant and Polymer Produced Water by Using Liquid-Liquid Hydrocyclone: Comparison of Prediction Abilities between Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System

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Main Authors: Ishak, K.E.H.K., Ayoub, M.A.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077179079&doi=10.1109%2fACCESS.2019.2955492&partnerID=40&md5=b4f3574a8611cd03eb8eee3399aa9098
http://eprints.utp.edu.my/25208/
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spelling my.utp.eprints.252082021-08-27T12:56:52Z Predicting the Efficiency of the Oil Removal from Surfactant and Polymer Produced Water by Using Liquid-Liquid Hydrocyclone: Comparison of Prediction Abilities between Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System Ishak, K.E.H.K. Ayoub, M.A. Institute of Electrical and Electronics Engineers Inc. 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077179079&doi=10.1109%2fACCESS.2019.2955492&partnerID=40&md5=b4f3574a8611cd03eb8eee3399aa9098 Ishak, K.E.H.K. and Ayoub, M.A. (2019) Predicting the Efficiency of the Oil Removal from Surfactant and Polymer Produced Water by Using Liquid-Liquid Hydrocyclone: Comparison of Prediction Abilities between Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System. IEEE Access, 7 . pp. 179605-179619. http://eprints.utp.edu.my/25208/
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 Ishak, K.E.H.K.
Ayoub, M.A.
spellingShingle Ishak, K.E.H.K.
Ayoub, M.A.
Predicting the Efficiency of the Oil Removal from Surfactant and Polymer Produced Water by Using Liquid-Liquid Hydrocyclone: Comparison of Prediction Abilities between Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System
author_facet Ishak, K.E.H.K.
Ayoub, M.A.
author_sort Ishak, K.E.H.K.
title Predicting the Efficiency of the Oil Removal from Surfactant and Polymer Produced Water by Using Liquid-Liquid Hydrocyclone: Comparison of Prediction Abilities between Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System
title_short Predicting the Efficiency of the Oil Removal from Surfactant and Polymer Produced Water by Using Liquid-Liquid Hydrocyclone: Comparison of Prediction Abilities between Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System
title_full Predicting the Efficiency of the Oil Removal from Surfactant and Polymer Produced Water by Using Liquid-Liquid Hydrocyclone: Comparison of Prediction Abilities between Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System
title_fullStr Predicting the Efficiency of the Oil Removal from Surfactant and Polymer Produced Water by Using Liquid-Liquid Hydrocyclone: Comparison of Prediction Abilities between Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System
title_full_unstemmed Predicting the Efficiency of the Oil Removal from Surfactant and Polymer Produced Water by Using Liquid-Liquid Hydrocyclone: Comparison of Prediction Abilities between Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System
title_sort predicting the efficiency of the oil removal from surfactant and polymer produced water by using liquid-liquid hydrocyclone: comparison of prediction abilities between response surface methodology and adaptive neuro-fuzzy inference system
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077179079&doi=10.1109%2fACCESS.2019.2955492&partnerID=40&md5=b4f3574a8611cd03eb8eee3399aa9098
http://eprints.utp.edu.my/25208/
_version_ 1738656697732300800
score 13.160551

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