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

DOI

10.2991/iccia.2012.133How to use a DOI?

Keywords

ANN, GA, Rhodospirillum Rubrum S1

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%.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Pan
AU  - Weijian Wang
AU  - Haijuan Tian
AU  - Shihao Li
AU  - Zhu Zhu
PY  - 2014/05
DA  - 2014/05
TI  - Optimization of the Culture Medium for Rhodospirillum Rubrum S1 with an Artificial Neural Network Model and GA
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 551
EP  - 553
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.133
DO  - 10.2991/iccia.2012.133
ID  - Pan2014/05
ER  -