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Journal of Environmental Science and Health, Part A
Toxic/Hazardous Substances and Environmental Engineering
Volume 46, 2011 - Issue 6
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ARTICLES

Hybrid artificial neural network genetic algorithm technique for modeling chemical oxygen demand removal in anoxic/oxic process

Yongwen Ma The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, South China University of Technology, Guangzhou, China; College of Environmental Science and Engineering, South China University of Technology, Guangzhou, China
,
Mingzhi Huang The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, South China University of Technology, Guangzhou, China; State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou, China; School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, China
,
Jinquan Wan The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, South China University of Technology, Guangzhou, China; College of Environmental Science and Engineering, South China University of Technology, Guangzhou, China
,
Kang Hu State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou, China
,
Yan Wang The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, South China University of Technology, Guangzhou, China
&
Huiping Zhang School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, China
Pages 574-580 | Received 12 Nov 2010, Published online: 13 Apr 2011

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