Modeling of activated sludge process using artificial neuro-fuzzy-inference system (ANFIS)-Reference-Cited by-同舟云学术

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Modeling of activated sludge process using artificial neuro-fuzzy-inference system (ANFIS)

Published:2015-11-12 Issue:45 Volume:57 Page:21182-21188
ISSN:1944-3994
Container-title:Desalination and Water Treatment
language:en
Short-container-title:Desalination and Water Treatment

Author:

Maachou R.¹,Lefkir A.²,Khouider A.¹,Bermad A.³

Affiliation:

1. Laboratory of Faculty of Chemistry, Electrochemistry-Corrosion, Metallurgy and Mineral Chemistry, USTHB, BP 32 El-Allia, PC 16111 Algiers, Algeria

2. ENSTP, Laboratory of TPiTE, Algiers, Algeria, Tel.

3. ENP, Ecole Nationale Polytechnique, URIE, B.P. 182-16200, El Harrach, Algiers, Algeria

Publisher

Informa UK Limited

Subject

Pollution,Ocean Engineering,Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/19443994.2015.1111596

Reference20 articles.

1. Use of fuzzy neural-net model for rule generation of activated sludge process

2. Modelling of the activated sludge process for microprocessor-based state estimation and control

3. Construction of an on-line fuzzy controller for the dynamic activated sludge process

4. Dissolved oxygen control of the activated sludge wastewater treatment process using stable adaptive fuzzy control

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization of the energy consumption in activated sludge process using deep learning selective modeling;Biomass and Bioenergy;2020-01

2. Application of adaptive neuro-fuzzy inference system (ANFIS) for modeling solar still productivity;Journal of Water Supply: Research and Technology - Aqua;2017-06-30

3. Statistical analysis of pollution parameters of activated sludge process;DESALINATION AND WATER TREATMENT;2017

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