Title :
The application of artificial neural network in wastewater treatment
Author_Institution :
Sch. of Environ. Sci. & Safety Eng., Tianjin Univ. of Technol., Tianjin, China
Abstract :
In this paper, the applications of artificial neural network(ANN) in wastewater treatment quality control are reviewed. The main applications include three fields: to predict the effluent quality, such as the concentration of COD, N and P; to soft sensing some parameters hard to measure on site, such as BOD; to measure some parameters more accurately, such as heavy metals. In combination with the developing trend of the researches, the future developing direction of ANN is analyzed.
Keywords :
computerised instrumentation; neural nets; quality control; wastewater treatment; artificial neural network; quality prediction; soft sensing; wastewater treatment quality control; Artificial neural networks; Biological neural networks; Board of Directors; Effluents; Predictive models; Sensors; Wastewater treatment; application; neural network; wastewater treatment;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6013606
