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. 5160. ISSN 0126513X

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Abstract
The performance of genetic algorithm (GA) in nonlinear kinetic parameter estimation of topiaca starch hydrolysis was studied and compared with GaussNewton method. Both methods were employed for determining the model parameters of the modified version of GonzalezTello 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 GaussNewton 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.
Item Type:  Article 

Uncontrolled Keywords:  GaussNewton method, generic algorithm, mathematical model, parameter estimation, starch hydrolysis 
Subjects:  T Technology > T Technology (General) 
Divisions:  Chemical and Natural Resources Engineering (Formerly known) 
ID Code:  5585 
Deposited By:  Norhani Jusoh 
Deposited On:  27 May 2008 09:44 
Last Modified:  17 Dec 2010 09:03 
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