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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Institute of Electrical and Electronics Engineers Inc.
2019
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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/ |
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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 |
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Ishak, K.E.H.K. Ayoub, M.A. |
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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 |
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Institute of Electrical and Electronics Engineers Inc. |
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2019 |
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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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13.211869 |