| BP神经网络和遗传算法在红发夫酵母培养基优化中的应用 |
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| 引用本文： | 彭锋,李安明.BP神经网络和遗传算法在红发夫酵母培养基优化中的应用[J].应用与环境生物学报,2008,14(6). |
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| 作者姓名： | 彭锋 李安明 |
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| 作者单位： | 1. 中国科学院成都生物研究所,成都,610041;中国科学院研究生院,北京,100049
2. 中国科学院成都生物研究所,成都,610041 |
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| 摘 要： | 运用BP神经网络对红发夫酵母发酵培养基组成进行建模以及预测类胡萝卜素产量,在此基础上采用遗传算法对此模型进行全局寻优.得到红发夫酵母发酵培养基的最佳配比为:蔗糖45.10 g/L,硫酸铵3.00 g/L,硫酸镁0.80 g/L,磷酸二氢钾1.40 g/L,酵母膏3.00 g/L,氯化钙0.50 g/L,类胡萝卜素产量达到8.20 mg/L,干重达到9.47 g/L.采用上述方法优化后的培养基使类胡萝卜素的产量比起始培养基提高了95.90%.
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| 关 键 词： | 红发夫酵母 虾青素 BP神经网络 遗传算法 培养基优化 |
Optimization of Carotenoid Fermentation Medium of Phaffia rhodozyma by BP Neural Network and Genetic Algorithm |
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| PENG Feng,LI Anming.Optimization of Carotenoid Fermentation Medium of Phaffia rhodozyma by BP Neural Network and Genetic Algorithm[J].Chinese Journal of Applied and Environmental Biology,2008,14(6). |
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| Authors: | PENG Feng LI Anming |
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| Affiliation: | PENG Feng1,2 & LI Anming1 (1Chengdu Institute of Biology,Chinese Academy of Sciences,Chengdu 610041,China) (2Graduate University of Chinese Academy of Sciences,Beijing 100049,China) |
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| Abstract: | In order to improve the carotenoid yield of Phaffia rhodozyma, Uniform Design was used for trial design of the formula medium components, then back-propagation neural network was established to model the relationships between the carotenoid yield and medium components and predict the concentration of medium components. Genetic algorithm (GA) was applied for integrated optimization of the model. The optimum combination of the medium was obtained: sucrose 45.10 g/L, ammonium sulfate 3.00 g/L, magnesium sulfat... |
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| Keywords: | Phaffia rhodozyma astaxanthin BP neural network genetic algorithm fermentation medium optimization |
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