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Can I read Experimental optimization of a real time fed-batch fermentation process using Markov decision process on EtoBox?
Experimental optimization of a real time fed-batch fermentation process using Markov decision process by Victor M. Saucedo; M. Nazmul Karim is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Experimental optimization of a real time fed-batch fermentation process using Markov decision process about?
This article describes a methodology that implements a Markov decision process (MDP) optimization technique in a real time fed-batch experiment. Biological systems can be better modeled under the stochastic framework and MDP is shown to be a suitable technique for their optimization. A nonlinear input/ output model is used to calculate the probability transitions. All elements of the MDP are identified according to physical parameters. Finally, this study compares the results obtained when optimizing ethanol production using the infinite horizon problem, with total expected discount policy, to previous experimental results aimed at optimizing ethanol production using a recombinant Escherichia coli fed-batch cultivation.
Who reads Experimental optimization of a real time fed-batch fermentation process using Markov decision process?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Victor M. Saucedo; M. Nazmul Karim
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); Wiley - V C H Verlag GmbbH & Co.; Wiley (ISSN 0006-3592)
- Published
- 1997
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)