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Application of Genetic Algorithm to Estimating Parameters from Kinetic Model of Ergosterol Batch Fermentation

Zhang Guozheng

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Abstract

By using genetic algorithm to estimating parameters from kinetic model of batch fermentation Taking the simulation of batch fermentation process of ergosterol,the application of genetic algorithm will further increase the coincidence of calculated values and experimental values of state varibles from ergostrol batch fermentation process By simulating the kinetic model,the results show that it can accord with batch fermentation process of ergosterol

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What this paper is about

By using genetic algorithm to estimating parameters from kinetic model of batch fermentation Taking the simulation of batch fermentation process of ergosterol,the application of genetic algorithm will further increase the coincidence of calculated values and experimental values of state varibles from ergostrol batch fermentation process By simulating the kinetic model,the results show that it can accord with batch fermentation process of ergosterol

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Available abstract

By using genetic algorithm to estimating parameters from kinetic model of batch fermentation Taking the simulation of batch fermentation process of ergosterol,the application of genetic algorithm will further increase the coincidence of calculated values and experimental values of state varibles from ergostrol batch fermentation process By simulating the kinetic model,the results show that it can accord with batch fermentation process of ergosterol

Key concepts: Ergosterol, Fermentation, Process (computing), Batch processing, Genetic algorithm, Process engineering, Biological system, Chemistry

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