Knowledge-based fuzzy broad learning algorithm for warning membrane fouling

HG Han, Q Zhang, Z Liu, JF Qiao - International Journal of Fuzzy Systems, 2021 - Springer
Membrane fouling is a widespread problem that restricts the stable operation of membrane
bioreactor (MBR) in wastewater treatment process (WWTP). However, it is difficult to avoid …

Forecasting of production and scrap amounts using artificial neural networks

TK Polat - Emerging Materials Research, 2022 - icevirtuallibrary.com
The increase in consumer needs and the scarcity of production resources cause the concept
of 'productivity'to be essential for companies. Reducing costs is an essential factor for …

Improving knowledge about permeability in membrane bioreactors through sensitivity analysis using artificial neural networks

AR Alkmim, GM de Almeida… - Environmental …, 2020 - Taylor & Francis
Membrane bioreactor (MBR) has been widely employed for industrial effluent treatment, as
its higher efficiency in removing pollutants makes effluent reuse more feasible. However …

Artificial intelligence model for forecasting of membrane fouling in wastewater treatment by membrane technology

KU Do, F Schmitt - Modeling in Membranes and Membrane …, 2020 - Wiley Online Library
New methods to predict membrane fouling in membrane bioreactors (MBRs) used for
wastewater treatment (in worldwide plants treating all kind of influents) are required in order …

NARXNN Modeling of Ultrafiltration Process for Drinking Water Treatment

MC Razali, NA Wahab, N Sunar… - Asia Simulation …, 2023 - Springer
Ultrafiltration (UF) process has gained attention over times, particularly in treating drinking
water treatment. A major challenge in achieving high quality of drinking water in UF process …

[图书][B] Microbial Biotechnology: an interdisciplinary approach

P Shukla - 2016 - books.google.com
Microbial Biotechnology: An Interdisciplinary Approach covers all aspects of microbial
biotechnology, whilst bringing the field of functional foods and microbial bioremediation to …

[PDF][PDF] Artificial Neural Networks in Membrane Bioreactors: A Comprehensive Review—Overcoming Challenges and Future Perspectives. Sci 2023, 5, 31

Z Frontistis, G Lykogiannis, A Sarmpanis - 2023 - academia.edu
Among different biological methods used for advanced wastewater treatment, membrane
bioreactors have demonstrated superior efficiency due to their hybrid nature, combining …

Data-Driven Approaches to Improve Operations of Biological Processes in WRRFs: Analytics, Model and Optimization

C Yang - 2022 - deepblue.lib.umich.edu
Wastewater treatment plants are being repurposed towards water resource recovery
facilities (WRRFs), addressing nutrient recovery and energy neutrality to deal with stricter …

[PDF][PDF] Prediction and diagnosis of extraordinary situations for wastewater treatment systems using neural network approach

CF Huang, AC Huang, TY Pai, RX Ni, FJ Chu… - Fresen. Environ …, 2017 - researchgate.net
The operation quality of a wastewater treatment system influences its effluent quality,
treatment cost, and performance stability. The aim of this research is to aid wastewater …

[PDF][PDF] Treatment of Bilge Water by Membrane Bioreactor and Prediction of Effluent Characteristics by Artificial Neural Network

MR Lakmehsaria, M Besharatyb - Computational Research Progress …, 2020 - academia.edu
The purpose of this study is to investigate the treatment of bilge water by membrane
bioreactor. The highest value of COD removal, turbidity, TDS, TSS and color at HRT of 48 h …