Utilization of stacked neural network for pore size prediction of asymmetric membrane
This study, investigates the possibility of applying stacked artificial neural network (ANN) as an alternative method to estimate the pore size of the asymmetric hollow fiber membranes. ANN, a connectionist-based (black box) model, consists of layers of nodes with nonlinear basis functions and weigh...
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| Pengarang-pengarang Utama: | , |
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| Format: | Artikel |
| Bahasa: | English |
| Diterbitkan: |
Penerbit UTM Press
2008
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| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.utm.my/8723/ http://eprints.utm.my/8723/1/UTMjurnalTEK_49F_DIS%5B25%5D.pdf |
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