Simulation of external carbon addition to anoxic-oxic process based on back-propagation neural network
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Simulation of external carbon addition to anoxic-oxic process based on back-propagation neural network
CIESC JournalIssue 2, Pages: 296-300(2005)
作者机构:
北京工业大学水质科学与水环境恢复工程重点实验室,北京,100022
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Online First:25 February 2005,
Published:25 February 2005
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PENG Yongzhen, WANG Zhihui, WANG Shuying. Simulation of external carbon addition to anoxic-oxic process based on back-propagation neural network[J]. CIESC Journal, 2005, (2): 296-300.
DOI:
PENG Yongzhen, WANG Zhihui, WANG Shuying. Simulation of external carbon addition to anoxic-oxic process based on back-propagation neural network[J]. CIESC Journal, 2005, (2): 296-300.DOI:
Simulation of external carbon addition to anoxic-oxic process based on back-propagation neural network
the simulation of external carbon addition was studied in the continuous flow anoxic/oxic(A/O) nitrogen removal process for domestic wastewater of low carbon∶nitrogen(C/N). It is difficult to develop a parametric model for the complex non-linear relationship among additional carbon dosage
total recycling rate and effluent total nitrogen concentration in a treatment system
which makes it hard to turn the control strategies into reality. Aiming at this problem
back-propagation neural network(BPNN) was introduced into the research.A non-parametric model was developed by the training of BPNN with the experimental data. The external carbon dosage could be optimized with the model based on neural network. It provided an alternative way to the realization of on-line optimal control of a wastewater treatment system.