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...
Saved in:
Main Authors: | Mohd. Yusof, Khairiyah, Idris, Ani |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2008
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/8723/1/UTMjurnalTEK_49F_DIS%5B25%5D.pdf http://eprints.utm.my/id/eprint/8723/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pore size determination of asymmetric membrane using neural network
by: Mohd. Yusof, Khairiyah, et al.
Published: (2003) -
Prediction of pore size of ultrafiltration membrane by using artificial neural network (ANN)
by: Razali, Nur Myra Rahayu, et al.
Published: (2008) -
Pore size measurements and distribution for ceramic membranes
by: Rahman, M. A., et al.
Published: (2017) -
Fabrication and optimisation of asymmetric hollow fiber membranes for reverse osmosis
by: Idris, Ani
Published: (2001) -
Nano-scale pore size asymmetric hollow fiber membranes for carbon dioxide capture
by: Mansourizadeh, Amir
Published: (2011)