The intelligent prediction of membrane fouling during membrane filtration by mathematical models and artificial intelligence models-Reference-Cited by-同舟云学术

The intelligent prediction of membrane fouling during membrane filtration by mathematical models and artificial intelligence models

Published:2024-02 Issue: Volume:349 Page:141031
ISSN:0045-6535
Container-title:Chemosphere
language:en
Short-container-title:Chemosphere

Author:

Wang Lu,Li Zonghao,Fan Jianhua,Han Zhiwu

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Department of Science and Technology of Jilin Province

Natural Science Foundation of Sichuan Province

Publisher

Elsevier BV

Subject

General Medicine,General Chemistry,Environmental Chemistry,Environmental Engineering,Pollution,Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference110 articles.

1. Modeling of an RO water desalination unit using neural networks

2. Permeate Flux Control in SMBR System by Using Neural Network Internal Model Control

3. Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

4. Predicting the fouling tendency of thin film composite membranes using fractal analysis and membrane autopsy

5. Recent progress on the smart membranes based on two-dimensional materials

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. Integrating artificial intelligence modeling and membrane technologies for advanced wastewater treatment: Research progress and future perspectives;Science of The Total Environment;2024-09

2. Enhanced Antifouling and Cleaning Efficiency of PLA Membranes Through Incorporation of Thermosensitive PNIPAM on Montmorillonite;Journal of Polymers and the Environment;2024-08-08

3. Filtration: Making Dirty Water Clean Enough to Drink;Frontiers for Young Minds;2024-07-11