Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review-Reference-Cited by-同舟云学术

Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review

Published:2021-02 Issue: Volume:405 Page:126673
ISSN:1385-8947
Container-title:Chemical Engineering Journal
language:en
Short-container-title:Chemical Engineering Journal

Author:

Li Lei,Rong Shuming,Wang Rui,Yu Shuili

Funder

National Major Science and Technology Projects of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Environmental Chemistry,General Chemistry

Reference118 articles.

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3. A comparison between semi-theoretical and empirical modeling of cross-flow microfiltration using ANN;Ghandehari;Desalination,2011

4. Evaluation of membrane fouling models based on bench-scale experiments: A comparison between constant flowrate blocking laws and artificial neural network (ANNs) model;Liu;J. Membr. Sci.,2008

5. Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters;Maier;Environ. Modell. Software,2004

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