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: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2003
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| Subjects: | |
| Online Access: | http://eprints.utm.my/1048/1/StackedANN_membrane.pdf |
| _version_ | 1796853181556195328 |
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| author | Mohd. Yusof, Khairiyah Idris, Ani Lim, J. S. |
| author_facet | Mohd. Yusof, Khairiyah Idris, Ani Lim, J. S. |
| author_sort | Mohd. Yusof, Khairiyah |
| collection | ePrints |
| description | 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 connections that link the nodes. Using the nodes and weights, the inputs are mapped to the outputs after being trained with a set of training data. The input data needed for training the ANN model, the solute rejection and the permeation rate, are obtained from permeation experiments. Since the number of experimental data points needed for training the ANN model is limited, stacked neural network is utilized instead of the more common and simple feedforward ANN. With the development of this ANN model, the procedure to estimate membrane pore size was found to be easier and faster with a testing error of less than 2% compared to the experimental data. |
| first_indexed | 2024-03-05T17:55:47Z |
| format | Conference or Workshop Item |
| id | utm.eprints-1048 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T17:55:47Z |
| publishDate | 2003 |
| record_format | dspace |
| spelling | utm.eprints-10482017-09-06T06:32:56Z http://eprints.utm.my/1048/ Pore size determination of asymmetric membrane using neural network Mohd. Yusof, Khairiyah Idris, Ani Lim, J. S. TP Chemical technology 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 connections that link the nodes. Using the nodes and weights, the inputs are mapped to the outputs after being trained with a set of training data. The input data needed for training the ANN model, the solute rejection and the permeation rate, are obtained from permeation experiments. Since the number of experimental data points needed for training the ANN model is limited, stacked neural network is utilized instead of the more common and simple feedforward ANN. With the development of this ANN model, the procedure to estimate membrane pore size was found to be easier and faster with a testing error of less than 2% compared to the experimental data. 2003 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/1048/1/StackedANN_membrane.pdf Mohd. Yusof, Khairiyah and Idris, Ani and Lim, J. S. (2003) Pore size determination of asymmetric membrane using neural network. In: International Conference on Chemical & Bioprocess Engineering, 27-29 August 2003, Kota Kinabalu. |
| spellingShingle | TP Chemical technology Mohd. Yusof, Khairiyah Idris, Ani Lim, J. S. Pore size determination of asymmetric membrane using neural network |
| title | Pore size determination of asymmetric membrane using neural network |
| title_full | Pore size determination of asymmetric membrane using neural network |
| title_fullStr | Pore size determination of asymmetric membrane using neural network |
| title_full_unstemmed | Pore size determination of asymmetric membrane using neural network |
| title_short | Pore size determination of asymmetric membrane using neural network |
| title_sort | pore size determination of asymmetric membrane using neural network |
| topic | TP Chemical technology |
| url | http://eprints.utm.my/1048/1/StackedANN_membrane.pdf |
| work_keys_str_mv | AT mohdyusofkhairiyah poresizedeterminationofasymmetricmembraneusingneuralnetwork AT idrisani poresizedeterminationofasymmetricmembraneusingneuralnetwork AT limjs poresizedeterminationofasymmetricmembraneusingneuralnetwork |