Predicting thermodynamic adhesion energies of membrane fouling in planktonic anammox MBR via backpropagation neural network model-Reference-Cited by-同舟云学术

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Predicting thermodynamic adhesion energies of membrane fouling in planktonic anammox MBR via backpropagation neural network model

Published:2024-08 Issue: Volume:406 Page:131011
ISSN:0960-8524
Container-title:Bioresource Technology
language:en
Short-container-title:Bioresource Technology

Author:

Cai Xiang^ORCID,Pang Si,Zhang Meijia,Teng Jiaheng,Lin Hongjun^ORCID,Xia Siqing^ORCID

Publisher

Elsevier BV

Reference41 articles.

1. Aggregation ability of three phylogenetically distant anammox bacterial species;Ali;Water Res.,2018

2. Energy saving anammox technology-based nitrogen removal and bioenergy recovery from wastewater: Inhibition mechanisms, state-of-the-art control strategies, and prospects;Arora;Renew. Sust. Energ. Rev.,2021

3. Artificial neural network in prediction of mixed-mode I/II fracture load;Bahrami;International Journal of Mechanical Sciences,2023

4. Assessing short-range membrane–colloid interactions using surface energetics;Brant;J. Membr. Sci.,2002

5. Membrane fouling in a submerged membrane bioreactor: An unified approach to construct topography and to evaluate interaction energy between two randomly rough surfaces;Cai;Bioresour. Technol.,2017

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