Support vector regression modelling of an aerobic granular sludge in sequential batch reactor

• Main Authors: Yasmin, N. S. A., Wahab, N. A., Ismail, F. S., Musa, M. J., Ab. Halim, M. H., Anuar, A. N.
• Format: Article
• Language: English
• Published: MDPI AG 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/95309/1/NurSakinahAhmadYasmin2021_SupportVectorRegressionModelling.pdf; http://eprints.utm.my/id/eprint/95309/; http://dx.doi.org/10.3390/membranes11080554

Support vector regression (SVR) models have been designed to predict the concentration of chemical oxygen demand in sequential batch reactors under high temperatures. The complex internal interaction between the sludge characteristics and their influent were used to develop the models. The predictio...