Bahar, Arifah and Rosli, Norhayati and Yeak, Su Hoe and Abd. Rahman, Haliza and Mohd. Aziz, Mohd. Khairul Bazli and Md. Salleh, Madihah (2010) Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262. In: The Regional Conference on Statistical Sciences (RCSS'10), 13-14 June 2010, New Pacific Hotel, Kota Bharu, Kelantan.
Official URL: http://www.instatmy.org.my/downloads/RCSS'10/Proce...
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:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||Stochastic Differential Equations, batch fermentation, Euler-Maruyama (EM), 2-stage Stochastic Runge-Kutta (SRK2), 4-stage Stochastic Runge-Kutta (SRK4)|
|Deposited By:||Liza Porijo|
|Deposited On:||17 Aug 2012 04:46|
|Last Modified:||17 Aug 2012 04:50|
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