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Indexed by:会议论文

Date of Publication:2011-05-21

Included Journals:EI、CPCI-S、Scopus

Volume:219-220

Page Number:322-+

Key Words:simulating; support vector machine; vertical tube biological reactor; wastewater treatment

Abstract:Effluent quality of vertical tube biological reactor (VTBR) was simulated by support vector machine. Average R-2 of the training set and the test set were used to balance the fitness and the predictive ability of SVR models, and evaluate the general performance of SVR models. Following a special grid search procedure, optimal parameters were determined for these SVR models. Results indicted that these SVR models have good fitness and predictive ability. The developed model may be integrated into an advanced control system for the VTBR using different control strategies with further work. Furthermore, SVR was found to be a useful and promising tool that is worth consideration in the prediction of effluent of wastewater treatment processes.