Modeling of submerged membrane filtration processes using recurrent artificial neural networks

• Main Authors: Yusof, Zakariah, Abdul Wahab, Norhaliza, Ibrahim, Syahira, Sahlan, Shafishuhaza, Che Razali, Mashitah
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/90062/1/ZakariahYusof2020_ModelingofSubmergedMembraneFiltrationProcesses.pdf; http://eprints.utm.my/id/eprint/90062/; http://dx.doi.org/10.11591/IJAI.V9.I1.PP155-163
• Institution: Universiti Teknologi Malaysia

The modeling of membrane filtration processes is a challenging task because it involves many interactions from both biological and physical operational behavior. Membrane fouling behaviour in filtration processes is complex and hard to understand, and to derive a robust model is almost not possible....