Support Vector Regression Modelling of an Aerobic Granular Sludge in Sequential Batch Reactor

Support Vector Regression Modelling of an Aerobic Granular Sludge in Sequential Batch Reactor

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...

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Bibliographic Details
Main Authors: Nur Sakinah Ahmad Yasmin, Norhaliza Abdul Wahab, Fatimah Sham Ismail, Mu’azu Jibrin Musa, Mohd Hakim Ab Halim, Aznah Nor Anuar
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Membranes
Subjects:
support vector regression
artificial neural network
optimization
particle swarm optimization
genetic algorithm
Online Access:https://www.mdpi.com/2077-0375/11/8/554

Internet

https://www.mdpi.com/2077-0375/11/8/554

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