| L-缬氨酸发酵培养基的神经网络建模与遗传算法优化 |
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| 引用本文： | 张慧,王健,陈宁.L-缬氨酸发酵培养基的神经网络建模与遗传算法优化[J].生物技术通讯,2005,16(2):156-158. |
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| 作者姓名： | 张慧 王健 陈宁 |
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| 作者单位： | 1. 天津科技大学,食品科学与生物工程学院,天津,300222
2. 吉林大学,生物与农业工程学院,吉林,长春,130022 |
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| 摘 要： | 运用神经网络对L-缬氨酸发酵培养基组成进行建模,在神经网络模型的基础上采用遗传算法对培养基组成进行优化,得到最佳发酵培养基组成.结果表明,运用神经网络并结合遗传算法是一种行之有效的优化方法.按最佳发酵培养基组成进行发酵实验64h,可在发酵液中积累L-缬氨酸28.5g/L.
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| 关 键 词： | L-缬氨酸 神经网络 遗传算法 优化 发酵 培养基 |
| 文章编号： | 1009-0002(2005)02-0156-03 |
| 修稿时间： | 2004年11月26 |
Neural Network Modeling and Genetic Algorithms for Optimizing Fermentation Medium of L-Valine |
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| ZHANG Hui,WANG Jian,CHEN Ning.Neural Network Modeling and Genetic Algorithms for Optimizing Fermentation Medium of L-Valine[J].Letters in Biotechnology,2005,16(2):156-158. |
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| Authors: | ZHANG Hui WANG Jian CHEN Ning |
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| Institution: | ZHANG Hui1,WANG Jian2,CHEN Ning11. College of Bioengineering,Tianjin University of Science and Technology,Tianjin 300222,2. College of Biology and Agricultural Engineering,Jilin University,Changchun 130022,China |
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| Abstract: | Neural network is used for the modeling of fermentation medium of L-valine, based on the modeling genetic algorithms is applied to optimize the medium and the optimal fermentation medium was gained. The results show that using neural network and genetic algorithms to optimize medium is practicable. Under the optimal fermentation medium condition, the L-valine could be accumulated to 28.5 g/L after fermentation for 64 hours. |
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| Keywords: | L-valine neural network genetic algorithms optimization |
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