Journal
BIOTECHNOLOGY LETTERS
Volume 25, Issue 21, Pages 1837-1842Publisher
SPRINGER
DOI: 10.1023/A:1026225526558
Keywords
artificial neural network; genetic algorithm; medium optimization; response surface methodology
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Artificial neural networks and genetic algorithms are used to model and optimize a fermentation medium for the production of the enzyme hydantoinase by Agrobacterium radiobacter. Experimental data reported in the literature were used to build two neural network models. The concentrations of four medium components served as inputs to the neural network models, and hydantoinase or cell concentration served as a single output of each model. Genetic algorithms were used to optimize the input space of the neural network models to find the optimum settings for maximum enzyme and cell production. Using this procedure, two artificial intelligence techniques have been effectively integrated to create a powerful tool for process modeling and optimization.
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