Modeling a Paper-Making Wastewater Treatment Process by Means of an Adaptive Network-Based Fuzzy Inference System and Principal Component Analysis-Reference-Cited by-同舟云学术

Modeling a Paper-Making Wastewater Treatment Process by Means of an Adaptive Network-Based Fuzzy Inference System and Principal Component Analysis

Published:2012-04-18 Issue:17 Volume:51 Page:6166-6174
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Huang Mingzhi¹²³,Ma Yongwen¹⁴,Wan Jinquan¹²,Zhang Huiping³,Wang Yan¹⁴

Affiliation:

1. College of Environmental Science and Engineering, South China University of Technology, Guangzhou, 510006, China

2. State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou, 510640, China

3. School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, 510640, China

4. The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, South China University of Technology, Guangzhou, 510006, China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie203049r

Reference28 articles.

1. Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance

2. Simulation of a paper mill wastewater treatment using a fuzzy neural network

3. Effects of phase vector and history extension on prediction power of adaptive-network based fuzzy inference system (ANFIS) model for a real scale anaerobic wastewater treatment plant operating under unsteady state

4. Control rules of aeration in a submerged biofilm wastewater treatment process using fuzzy neural networks

5. Monitoring Rice Nitrogen Status Using Hyperspectral Reflectance and Artificial Neural Network

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