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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)
Department工业信息学研究室
Source PublicationJournal of Computers
ISSN1796-203X
2011
Volume6Issue:8Pages:1570-1577
Indexed ByEI
EI Accession number20113314243388
Contribution Rank2
Funding OrganizationNational 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
KeywordWastewater Treatment Recurrent High Order Neural Network Filtering
AbstractDue 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.
Language英语
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/19904
Collection工业信息学研究室
Corresponding AuthorQiao JF(乔俊飞)
Affiliation1.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
Recommended Citation
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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