Recurrent high order neural network modeling for wastewater treatment process
文献类型:期刊论文
作者 | Qiao JF(乔俊飞); Yang WW(杨维维); Yuan MZ(苑明哲)![]() |
刊名 | Journal of Computers
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出版日期 | 2011 |
卷号 | 6期号:8页码:1570-1577 |
关键词 | wastewater treatment recurrent high order neural network filtering |
ISSN号 | 1796-203X |
产权排序 | 2 |
通讯作者 | 乔俊飞 |
中文摘要 | 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. |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.sia.cn/handle/173321/19904] ![]() |
专题 | 沈阳自动化研究所_工业信息学研究室 |
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. |
入库方式: OAI收割
来源:沈阳自动化研究所
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