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Improving the efficiency of dissolved oxygen control using an on-line control system based on a genetic algorithm evolving FWNN software sensor
Ruan, Jujun[2]; Zhang, Chao[1]; Li, Ya[1]; Li, Peiyi[1]; Yang, Zaizhi[1]; Chen, Xiaohong[1]; Huang, Mingzhi[1]; Zhang, Tao[2]
刊名JOURNAL OF ENVIRONMENTAL MANAGEMENT
2017
卷号187页码:550-559
关键词Dissolved oxygen control Software sensor Genetic algorithm evolving fuzzy wavelet neural network Wastewater treatment process
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内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2186327
专题华南理工大学
作者单位1.[1]Sun Yat Sen Univ, Dept Water Resources & Environm, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
2.[2]Sun Yat Sen Univ, Sch Environm Sci & Engn, Guangdong Prov Key Lab Environm Pollut Control &, Guangzhou 510275, Guangdong, Peoples R China
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GB/T 7714
Ruan, Jujun[2],Zhang, Chao[1],Li, Ya[1],et al. Improving the efficiency of dissolved oxygen control using an on-line control system based on a genetic algorithm evolving FWNN software sensor[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2017,187:550-559.
APA Ruan, Jujun[2].,Zhang, Chao[1].,Li, Ya[1].,Li, Peiyi[1].,Yang, Zaizhi[1].,...&Zhang, Tao[2].(2017).Improving the efficiency of dissolved oxygen control using an on-line control system based on a genetic algorithm evolving FWNN software sensor.JOURNAL OF ENVIRONMENTAL MANAGEMENT,187,550-559.
MLA Ruan, Jujun[2],et al."Improving the efficiency of dissolved oxygen control using an on-line control system based on a genetic algorithm evolving FWNN software sensor".JOURNAL OF ENVIRONMENTAL MANAGEMENT 187(2017):550-559.
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