Rosli, Norhayati and Bahar, Arifah and Yeak Su, Hoe and Abd.Rahman, Haliza and Mohd Aziz, Mohd Khairul Bazli and Md.Salleh, Madihah (2009) Stochastic model of gelatinised sago starch to solvent production by c. acetobutylicum P262. In: Proceedings of the Regional Conference on Statistical Sciences 2010 (RCSS’10). Malaysia Institute Of Statistics, Shah Alam, Selangor, pp. 10-20. ISBN 978-967-363-157-5
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Fluctuations are inherent property of many physical systems in biology, epidemiology, finance and chemical reactions. They are recognized as unknown disturbances or stochastic effects. In order to describe the system embedded with the above effect, the system is modelled using stochastic differential equations (SDEs). This work is carried out to model the growth of C. acetobutylicum P262 in batch fermentation and solvent production using SDE. Since, the analytical solutions of this SDE are complex, a numerical simulation is applied to approximate the strong solution of the SDE. This paper also discusses the use of three different numerical methods in modelling the growth of C. acetobutylicum P262 and solvent production.
|Item Type:||Book Section|
|Uncontrolled Keywords:||stochastic differential equations, batch fermentation, euler-maruyama (EM), 2-stage stochastic runge-kutta (SRK2), 4-stage stochastic runge-kutta (SRK4)|
|Subjects:||Q Science > Q Science (General)|
|Deposited By:||Liza Porijo|
|Deposited On:||12 Jul 2011 01:14|
|Last Modified:||12 Jul 2011 01:14|
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