Modeling water flux in osmotic membrane bioreactor by adaptive network-based fuzzy inference system and artificial neural network.

Bioreactors Fuzzy Logic Membranes, Artificial Neural Networks, Computer Osmosis Wastewater Water
ANFIS ANN Membrane process Modeling OMBR Water flux

Journal

Bioresource technology
ISSN: 1873-2976
Titre abrégé: Bioresour Technol
Pays: England
ID NLM: 9889523

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 11 03 2020
revised: 11 04 2020
accepted: 13 04 2020
pubmed: 29 4 2020
medline: 26 5 2020
entrez: 29 4 2020
Statut: ppublish

Résumé

Osmotic Membrane Bioreactor (OMBR) is an emerging technology for wastewater treatment with membrane fouling as a major challenge. This study aims to develop Adaptive Network-based Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) models in simulating and predicting water flux in OMBR. Mixed liquor suspended solid (MLSS), electrical conductivity (EC) and dissolved oxygen (DO) were used as model inputs. Good prediction was demonstrated by both ANFIS models with R

Identifiants

DOI: 10.1016/j.biortech.2020.123391 PMID: 32344239
pubmed: 32344239
pii: S0960-8524(20)30663-5
doi: 10.1016/j.biortech.2020.123391
pii:
doi:

Substances chimiques

Membranes, Artificial 0
Waste Water 0
Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123391

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Ahmad Hosseinzadeh (A)

Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.

John L Zhou (JL)

Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia. Electronic address: Junliang.zhou@uts.edu.au.

Ali Altaee (A)

Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.

Mansour Baziar (M)

Ferdows School of Paramedical and Health, Birjand University of Medical Sciences, Birjand, Iran.

Xiaowei Li (X)

School of Environmental and Chemical Engineering, Organic Compound Pollution Control Engineering, Ministry of Education, Institute for the Conservation of Cultural Heritage, Shanghai University, Shanghai 200444, PR China.

Articles similaires

Effects of water-insoluble wheat bran-fraction powder on disease activity and caecal microbiota in dextran sodium sulphate-induced inflammatory bowel disease mouse model.

Kazuya Koga, Mizuki Sato, Nanase Okamoto et al.
1.00
Animals Dietary Fiber Dextran Sulfate Mice Disease Models, Animal

Enhancing strawberry resilience to saline, alkaline, and combined stresses with light spectra: impacts on growth, enzymatic activity, nutrient uptake, and osmotic regulation.

Mohammad Reza Malekzadeh, Hamid Reza Roosta, Hazem M Kalaji
1.00
Fragaria Light Plant Leaves Osmosis Stress, Physiological

Unsupervised learning for real-time and continuous gait phase detection.

Dollaporn Anopas, Yodchanan Wongsawat, Jetsada Arnin
1.00
Humans Gait Neural Networks, Computer Unsupervised Machine Learning Walking

Study on the mechanical properties of granite responses of cyclic heating and water cooling considering microcosmic and energy.

Xiaokang Liang, Hanxiang Liu, Yong Yuan et al.
1.00
Silicon Dioxide Water Hot Temperature Compressive Strength X-Ray Diffraction

Classifications MeSH

questionsmedicales.fr › Technologie, industrie et agriculture › Technologie › Biotechnologie › Bioréacteurs › Modeling water flux in osmotic membrane...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Logique floue › Modeling water flux in osmotic membrane...
questionsmedicales.fr › Technologie, industrie et agriculture › Produits manufacturés › Matériaux biomimétiques › Membrane artificielle › Modeling water flux in osmotic membrane...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Réseaux neuronaux (ordinateur) › Modeling water flux in osmotic membrane...
questionsmedicales.fr › Phénomènes chimiques › Perméabilité › Osmose › Modeling water flux in osmotic membrane...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Pollution de l'environnement › Déchets › Eaux usées › Modeling water flux in osmotic membrane...
questionsmedicales.fr › Produits chimiques inorganiques › Composés de l'oxygène › Oxydes › Eau › Modeling water flux in osmotic membrane...