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

Main Authors: Ishak, K.E.H.K., Ayoub, M.A.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.25208 /
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 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
collection UTP Institutional Repository
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_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_ 1741196936525905920
score 11.62408

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