Pore size determination of asymmetric membrane using neural network
This study, investigates the possibility of applying 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 weighted conn...
Main Authors: | Mohd. Yusof, Khairiyah, Idris, Ani, Lim, J. S. |
---|---|
Format: | Conference or Workshop Item |
Sprog: | English |
Udgivet: |
2003
|
Fag: | |
Online adgang: | http://eprints.utm.my/1048/1/StackedANN_membrane.pdf |
Lignende værker
-
Utilization of stacked neural network for pore size prediction of asymmetric membrane
af: Mohd. Yusof, Khairiyah, et al.
Udgivet: (2008) -
Prediction of pore size of ultrafiltration membrane by using artificial neural network (ANN)
af: Razali, Nur Myra Rahayu, et al.
Udgivet: (2008) -
Pore size determination of asymmetric membrane using neural network /
af: 491022 Khairiyah Mohd. Yusof, et al.
Udgivet: (2003) -
Artificial neural network modelling of steady state chemical engineering systems
af: Mohd. Yusof, Khairiyah, et al.
Udgivet: (2003) -
An economical production of polyethersulfone asymmetric membranes using mixture of two solvents and lithium chloride as additive
af: Idris, Ani, et al.
Udgivet: (2006)