Application of a Multiobjective Artificial Neural Network (ANN) in Industrial Reverse Osmosis Concentrate Treatment with a Fluidized Bed Fenton Process: Performance Prediction and Process Optimization-Reference-Cited by-同舟云学术

Application of a Multiobjective Artificial Neural Network (ANN) in Industrial Reverse Osmosis Concentrate Treatment with a Fluidized Bed Fenton Process: Performance Prediction and Process Optimization

Published:2021-01-14 Issue:4 Volume:1 Page:847-858
ISSN:2690-0637
Container-title:ACS ES&T Water
language:en
Short-container-title:ACS EST Water

Author:

Cai Qinqing¹²,Lee Brandon Chuan Yee¹²,Ong Say Leong¹²,Hu Jiangyong¹²^ORCID

Affiliation:

1. Sembcorp-NUS Corporate Laboratory, National University of Singapore, Sembcorp-NUS Corporate Laboratory c/o FoE, Block E1A, #04-01, 1 Engineering Drive 2, Singapore 117576

2. Department of Civil & Environmental Engineering, Faculty of Engineering, National University of Singapore, Block E1A, #07-01, 1 Engineering Drive 2, Singapore 117576

Funder

National Research Foundation Singapore

National University of Singapore

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsestwater.0c00192

Reference41 articles.

1. Reverse osmosis integrity monitoring

2. Managing the reverse osmosis concentrate from the Western Corridor Recycled Water Scheme

3. Photoelectrocatalytic degradation of organics and formation of disinfection byproducts in reverse osmosis concentrate

4. Characterisation and removal of recalcitrants in reverse osmosis concentrates from water reclamation plants

5. Evaluation of the treatment of reverse osmosis concentrates from municipal wastewater reclamation by coagulation and granular activated carbon adsorption

Cited by 14 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. Optimizing the UV-Fenton Degradation of m-Cresol Wastewater: An Experimental and Artificial Intelligence Modeling Approach;Industrial & Engineering Chemistry Research;2024-01-06

2. Tree-based ensemble machine learning model for nitrate reduction by zero-valent iron;Journal of Water Process Engineering;2023-12

3. Potential of artificial intelligence and response surface methodology to predict CO2 capture by KOH-modified activated alumina;Case Studies in Chemical and Environmental Engineering;2023-12

4. Antiscalant and its deactivation in zero/minimized liquid discharge (ZLD/MLD) application in the mining sector – Opportunities, challenges and prospective;Minerals Engineering;2023-10

5. A data-driven approach for understanding the structure dependence of redox activity in humic substances;Environmental Research;2023-02