Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Dr. Tatiana Ilkova
In this paper Neuro-dynamic programming (NDP) is proposed as an alternative to alleviate the “curse of dimensionality” of the Dynamic programming (DP) for optimal control of a fed-batch fermentation process in the L-lysine production. The most effective and cheapest method for the Llysine biosynthesis (in biological active form) is the microbiological method via a direct fermentation. In this paper an optimization method of the L-lysine production from strain Brevibacterium flavum 22LD is used and that is NDP. The results show that the quality of L-lysine enhances at the end of the process. The proposed method is particularly simple to implement and can be applied for on-line optimization.
Dr. Tatiana Ilkova. 1970. \u201cL-lysine Neuro-Dynamic Optimal Control\u201d. Unknown Journal GJMR Volume 11 (GJMR Volume 11 Issue 4): .
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The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 112
Country: Unknown
Subject: Uncategorized
Authors: Dr. Tatiana Ilkova, Dr. Mitko Petrov (PhD/Dr. count: 2)
View Count (all-time): 138
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Publish Date: 1970 01, Thu
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Neural Networks and Rules-based Systems used to Find Rational and
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In this paper Neuro-dynamic programming (NDP) is proposed as an alternative to alleviate the “curse of dimensionality” of the Dynamic programming (DP) for optimal control of a fed-batch fermentation process in the L-lysine production. The most effective and cheapest method for the Llysine biosynthesis (in biological active form) is the microbiological method via a direct fermentation. In this paper an optimization method of the L-lysine production from strain Brevibacterium flavum 22LD is used and that is NDP. The results show that the quality of L-lysine enhances at the end of the process. The proposed method is particularly simple to implement and can be applied for on-line optimization.
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