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

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...

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Bibliographic Details
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:
Online Access:http://eprints.utm.my/id/eprint/60778/
http://ieeexplore.ieee.org/document/7244690/
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Institution: Universiti Teknologi Malaysia