Computer Simulating Effluent Quality of Vertical Tube Biological Reactor Using Support Vector Machine

Abstract:

Article Preview

Effluent quality of vertical tube biological reactor (VTBR) was simulated by support vector machine. Average R2 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.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

322-326

DOI:

10.4028/www.scientific.net/AMR.219-220.322

Citation:

J. Zhang et al., "Computer Simulating Effluent Quality of Vertical Tube Biological Reactor Using Support Vector Machine", Advanced Materials Research, Vols. 219-220, pp. 322-326, 2011

Online since:

March 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.