Modeling of activated sludge process using various nonlinear techniques: a comparison study

• Main Authors: Yusuf, Zakariah, Abdul Wahab, Norhaliza, Sahlan, Shafishuhaza
• Format: Conference or Workshop Item
• Language: English
• Published: 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/61997/1/NorhalizaAbdWahab2015_ModelingofActivatedSludgeProcessusingVariousNonlinear.pdf; http://eprints.utm.my/id/eprint/61997/; http://www.utm.my/iicist/

This paper presents a comparison study between radial basis function neural network (RBFNN), feed forward multilayer perceptron neural network (MLPNN) and adaptive neuro-fuzzy (ANFIS) technique to model the activated sludge process (ASP). All of these techniques are based on the nonlinear autoregres...