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Recurrent high order neural network modeling for wastewater treatment process
Qiao JF(乔俊飞); Yang WW(杨维维); Yuan MZ(苑明哲)
作者部门工业信息学研究室
关键词Wastewater Treatment Recurrent High Order Neural Network Filtering
发表期刊Journal of Computers
ISSN1796-203X
2011
卷号6期号:8页码:1570-1577
收录类别EI
EI收录号20113314243388
产权排序2
资助机构National High Technology Research and Development Program of China(863 Program) under Grant 2007AA04Z160 and 2009AA04Z155, Science and technology project of Beijing Municipal Education Commission under Grant KZ201010005005
摘要Due to the multi-variable, nonlinear, large time delay and strong coupling features of the wastewater treatment process, a recurrent high-order neural network is used to model the key water quality parameters(Chemical Oxygen Demand, Biological Oxygen Demand, Suspended Solid and Ammonia Nitrogen) for the wastewater treatment process, and the neural network is trained by an filtering algorithm. Operational data of a wastewater treatment plant is employed to illustrate the efficacy of the proposed modeling method. Meanwhile, the results are compared with feed-forward neural network and the general recurrent neural network to indicate the modeling accuracy of the recurrent high-order neural network.
语种英语
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/19904
专题工业信息学研究室
通讯作者Qiao JF(乔俊飞)
作者单位1.Beijing University of Technology, College of Electronic and Control Engineering, Beijing, China
2.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China
推荐引用方式
GB/T 7714
Qiao JF,Yang WW,Yuan MZ. Recurrent high order neural network modeling for wastewater treatment process[J]. Journal of Computers,2011,6(8):1570-1577.
APA Qiao JF,Yang WW,&Yuan MZ.(2011).Recurrent high order neural network modeling for wastewater treatment process.Journal of Computers,6(8),1570-1577.
MLA Qiao JF,et al."Recurrent high order neural network modeling for wastewater treatment process".Journal of Computers 6.8(2011):1570-1577.
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