Optimization of the Culture Medium for Rhodospirillum rubrum S1 with an Artificial Neural Network Model and GA

Abstract:

on the basis of the data from the previous box-behnken central composite design, an Artificial Neural Network (ANN) model was constructed for the prediction of outputs of carotenoids. GA (genetic algorithm) was used to search for the optimal culture medium for Rhodospirillum Rubrum S1:citric acid 3.678g/L, Beef extract 3.407 g/L, MgSO4 0.524g/L, FeSO40.023g/L. In the optimal culture medium, it was predicted that the outputs of the carotenoids were13.85 mg/ L.After three verification experiments, the outputs of the carotenoids were 13.72mg/L, the error between the expected value and the experimental value was 0.93%.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 172-175
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.172
• Online since: September 2013
• Authors: Yan Pan, Wei Jian Wang, Hai Juan Tian, Shi Hao Li, Zhu Zhu
• Keywords: Artificial Neural Network (ANN), Genetic Algorithm (GA), Rhodospirillum rubrum S1

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