Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm
The performance of genetic algorithm (GA) in nonlinear kinetic parameter estimation of topiaca starch hydrolysis was studied and compared with Gauss-Newton method. Both methods were employed for determining the model parameters of the modified version of Gonzalez-Tello model. To estimate and validat...
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| Format: | Article |
| Language: | en |
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The Institution of Engineers, Malaysia
2005
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| Online Access: | http://eprints.utm.my/5585/3/RoslinaRashid2005_ParameterEstimationofTapiocaStarch.pdf http://eprints.utm.my/5585/ http://www.myiem.org.my/content/journal-122.aspx |
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| author | Rashid, Roslina Jamaluddin, Hishamuddin Saidina Amin, Nor Aishah |
| author_facet | Rashid, Roslina Jamaluddin, Hishamuddin Saidina Amin, Nor Aishah |
| author_sort | Rashid, Roslina |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The performance of genetic algorithm (GA) in nonlinear kinetic parameter estimation of topiaca starch hydrolysis was studied and compared with Gauss-Newton method. Both methods were employed for determining the model parameters of the modified version of Gonzalez-Tello model. To estimate and validate the model parameters, experimental works involving hydrolysing tapioca starch were conducted. The model was then used to predict glucose concentration profile for a given initial condition of the tapioca hydrolysis process. In terms of error index values, both methods produced good results. This study showed that the impact of user defined parameters of the GA was insignificant as compared with the influence of the initial parameters of Gauss-Newton method on the predictive performance. Futhermore, the GA approach requires no guessing of the initial values and is able to produce reasonable solutions for the estimated parameters. |
| format | Article |
| id | my.utm.eprints-5585 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2005 |
| publisher | The Institution of Engineers, Malaysia |
| record_format | eprints |
| spelling | my.utm.eprints-55852010-12-17T09:03:19Z http://eprints.utm.my/5585/ Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm Rashid, Roslina Jamaluddin, Hishamuddin Saidina Amin, Nor Aishah T Technology (General) The performance of genetic algorithm (GA) in nonlinear kinetic parameter estimation of topiaca starch hydrolysis was studied and compared with Gauss-Newton method. Both methods were employed for determining the model parameters of the modified version of Gonzalez-Tello model. To estimate and validate the model parameters, experimental works involving hydrolysing tapioca starch were conducted. The model was then used to predict glucose concentration profile for a given initial condition of the tapioca hydrolysis process. In terms of error index values, both methods produced good results. This study showed that the impact of user defined parameters of the GA was insignificant as compared with the influence of the initial parameters of Gauss-Newton method on the predictive performance. Futhermore, the GA approach requires no guessing of the initial values and is able to produce reasonable solutions for the estimated parameters. The Institution of Engineers, Malaysia 2005-09 Article PeerReviewed application/pdf en http://eprints.utm.my/5585/3/RoslinaRashid2005_ParameterEstimationofTapiocaStarch.pdf Rashid, Roslina and Jamaluddin, Hishamuddin and Saidina Amin, Nor Aishah (2005) Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm. The Journal of The Institution of Engineers, Malaysia, 66 (3). pp. 51-60. ISSN 0126-513X http://www.myiem.org.my/content/journal-122.aspx |
| spellingShingle | T Technology (General) Rashid, Roslina Jamaluddin, Hishamuddin Saidina Amin, Nor Aishah Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm |
| title | Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm |
| title_full | Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm |
| title_fullStr | Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm |
| title_full_unstemmed | Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm |
| title_short | Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm |
| title_sort | parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm |
| topic | T Technology (General) |
| url | http://eprints.utm.my/5585/3/RoslinaRashid2005_ParameterEstimationofTapiocaStarch.pdf http://eprints.utm.my/5585/ http://www.myiem.org.my/content/journal-122.aspx |
| url_provider | http://eprints.utm.my/ |