Improving the efficiency of dissolved oxygen control using an on-line control system based on a genetic algorithm evolving FWNN software sensor

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• 作者：Jujun Ruan^b ; Chao Zhang^a ; Ya Li^a ; Peiyi Li^a ; Zaizhi Yang^a ; Xiaohong Chen^a ; Mingzhi Huang^a ; ^{huangmzh6@mail.sysu.edu.cn} ; ^{mz.huang@mail.scut.edu.cn} ; Tao Zhang^b ; ^{zhangt47@mail.sysu.edu.cn}
• 关键词：Dissolved oxygen control ; Software sensor ; Genetic algorithm evolving fuzzy wavelet neural network ; Wastewater treatment process
• 刊名：Journal of Environmental Management
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：187
• 期：Complete
• 页码：550-559
• 全文大小：2638 K
• 卷排序：187

文摘

Combining the advantages of NN, FL and WT, a novel FWNN was developed. An on-line control system with FWNN software sensor was proposed to control DO. A hybrid learning algorithm integrating GA and GDA was employed. The proposed hybrid approach was a robust and effective DO control tool.