Modeling of SBR aerobic granular sludge using neural network with GSA and IW-PSO

• Main Authors: Yusuf, Zakariah, Abd. Wahab, Norhaliza, Ab. Halim, Mohd. Hakim, Nor Anuar, Aznah, Ujang, Zaini, Bob, Mustafa M.
• Format: Conference or Workshop Item
• Published: 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/60778/; http://ieeexplore.ieee.org/document/7244690/
• Institution: Universiti Teknologi Malaysia

This paper presents a modeling technique of sequential batch reactor (SBR) for aerobic granular sludge (AGS) using artificial neural network (ANN). A SBR fed with synthetic wastewater was operated at high temperature of 50 C to study the formation of AGS for simultaneous organics and nutrients remov...