Title :
Applied research on wastewater treatment based on least squares support vector machine
Author :
Liang, Liming ; Xie, Fumin
Author_Institution :
Sch. of Mech. & Electron. Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
Abstract :
In view of lots of problems such as the time-delay caused by wastewater indices off-line analysis and a long sampling interval in industrial manufacturing process, a sewage treatment soft measurement method based on least squares support vector machine is proposed in this paper. The simulation results show that the method in this paper is feasible and has a lot of merits such as high precision, fast speed, lower secondary pollution, etc, and this method also supply a theoretical guidance for realization in real-time on-line examination of the sewage.
Keywords :
least squares approximations; sampling methods; sewage treatment; support vector machines; wastewater treatment; industrial manufacturing process; least squares support vector machine; sampling interval; sewage treatment soft measurement method; wastewater indices offline analysis; wastewater treatment; Atmospheric measurements; Educational institutions; Medical services; Particle measurements; Presses; Support vector machines; Wastewater treatment; least squares support vector machine (LSSVM); particle swarm optimization algorithm (PSO); soft measure; water quality parameters;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965392