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...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2015
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| Subjects: |