Use of neural network for modeling of liquid-liquid extraction process in the RDC column
Several Mathematical Models have been developed for processes involving Rotating Disc Contactor (RDC) Column. These models indicated that the hydrodynamic and the mass transfer processes are important factors for the column performances. Usually, the mathematical simulation models describing the pro...
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| Format: | Article |
| Language: | en |
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Faculty of Science
2003
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| Online Access: | http://eprints.utm.my/2421/1/normah2003_UseNeuralNetworkModeling.pdf http://eprints.utm.my/2421/ http://www.fs.utm.my/matematika/content/view/78/31/ |
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| _version_ | 1845470690094874624 |
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| author | Maan, Normah Talib, Jamalludin Arshad, Khairil Annuar |
| author_facet | Maan, Normah Talib, Jamalludin Arshad, Khairil Annuar |
| author_sort | Maan, Normah |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Several Mathematical Models have been developed for processes involving Rotating Disc Contactor (RDC) Column. These models indicated that the hydrodynamic and the mass transfer processes are important factors for the column performances. Usually, the mathematical simulation models describing the processes in the column are very complex. It also needs excessive computer time to produce simulation data for further analysis. Therefore, an alternative approach based on Artificial Neural Network is considered to assist in speeding up the simulation process. This paper presents a new application of Artificial Neural Network (ANN) techniques to the modeling of the liquid-liquid extraction process in the RDC Column. In this work, the ANN was trained with the simulated data obtained from Arshad (2000). The Neural Network models are able to generate 128 simulated data for RDC column with RMS error value of 1.0E-07. The comparison between Neural Network output and Mathematical Model(2000) output is also presented.
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| format | Article |
| id | my.utm.eprints-2421 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2003 |
| publisher | Faculty of Science |
| record_format | eprints |
| spelling | my.utm.eprints-24212010-08-13T01:48:46Z http://eprints.utm.my/2421/ Use of neural network for modeling of liquid-liquid extraction process in the RDC column Maan, Normah Talib, Jamalludin Arshad, Khairil Annuar QA Mathematics Several Mathematical Models have been developed for processes involving Rotating Disc Contactor (RDC) Column. These models indicated that the hydrodynamic and the mass transfer processes are important factors for the column performances. Usually, the mathematical simulation models describing the processes in the column are very complex. It also needs excessive computer time to produce simulation data for further analysis. Therefore, an alternative approach based on Artificial Neural Network is considered to assist in speeding up the simulation process. This paper presents a new application of Artificial Neural Network (ANN) techniques to the modeling of the liquid-liquid extraction process in the RDC Column. In this work, the ANN was trained with the simulated data obtained from Arshad (2000). The Neural Network models are able to generate 128 simulated data for RDC column with RMS error value of 1.0E-07. The comparison between Neural Network output and Mathematical Model(2000) output is also presented. Faculty of Science 2003-06 Article PeerReviewed application/pdf en http://eprints.utm.my/2421/1/normah2003_UseNeuralNetworkModeling.pdf Maan, Normah and Talib, Jamalludin and Arshad, Khairil Annuar (2003) Use of neural network for modeling of liquid-liquid extraction process in the RDC column. Matematika, 19 (1). pp. 15-27. ISSN 0127-8274 http://www.fs.utm.my/matematika/content/view/78/31/ |
| spellingShingle | QA Mathematics Maan, Normah Talib, Jamalludin Arshad, Khairil Annuar Use of neural network for modeling of liquid-liquid extraction process in the RDC column |
| title | Use of neural network for modeling of liquid-liquid extraction process in the RDC column |
| title_full | Use of neural network for modeling of liquid-liquid extraction process in the RDC column |
| title_fullStr | Use of neural network for modeling of liquid-liquid extraction process in the RDC column |
| title_full_unstemmed | Use of neural network for modeling of liquid-liquid extraction process in the RDC column |
| title_short | Use of neural network for modeling of liquid-liquid extraction process in the RDC column |
| title_sort | use of neural network for modeling of liquid-liquid extraction process in the rdc column |
| topic | QA Mathematics |
| url | http://eprints.utm.my/2421/1/normah2003_UseNeuralNetworkModeling.pdf http://eprints.utm.my/2421/ http://www.fs.utm.my/matematika/content/view/78/31/ |
| url_provider | http://eprints.utm.my/ |