| 付茂红 1， 3 ， 钟 娟 1， 2， 3 ， 谭忠元 1， 3 ， 彭文璟 1， 2 ， 杨 杰 1， 2 ， 周金燕 1， 2 ， 谭 红 1， 2.改进型人工神经网络优化 Iturin A
发酵培养基研究[J].广东农业科学,2015,42(17):102-107 |
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改进型人工神经网络优化 Iturin A
发酵培养基研究 |
| Optimization of fermentation medium for Iturin A byimproved artificial neural network approach |
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| DOI： |
| 中文关键词: 伊枯草菌素 A 均匀设计 遗传算法 人工神经网络 二次多项式 |
| 英文关键词: Iturin A uniform design genetic algorithm artificial neural network quadratic polynomial |
| 基金项目:国家科技支撑计划项目（2011BAE06
B04-18） |
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| 摘要点击次数: 1821 |
| 全文下载次数: 709 |
| 中文摘要: |
| 为提高伊枯草菌素 A（Iturin A）的产量， 选择发酵培养基中对 Iturin A 合成有影响的 5 个组分
作为自变量、 以 Iturin A 产量为响应值， 设计 5 因素 10 水平的均匀设计试验。 以均匀设计试验数据为基础，
分别建立二次多项式模型和一种改进型人工神经网络模型来优化发酵培养基， 最后通过比较两种模型的优劣
选择改进型人工神经网络模型优化培养基组分。 结果表明， 相比于二次多项式模型， 基于相同试验设计的改
进型人工神经网路模型有更好的拟合精度和泛化能力， 使用人工神经网络模型优化后的培养基发酵 48 h 后，
Iturin A 产量为 1.121（±0.089）g/L， 比二次多项式模型优化的培养基高出 13.23%， 此时 Iturin A 发酵培养基
的优化组分为葡萄糖、 KH 2 PO 4 、 MgSO 4 ·7H 2 O、 酵母膏和大豆蛋白胨总氮浓度分别为 42.6、 3.62 、 3.14、 0.12、
2 g/L。 |
| 英文摘要: |
| In order to improve the yield of Iturin A， five components of fermentation culture medium influencing
the synthesis of Iturin A were chosen as independent variables， the yield of Iturin A was used as response value， a
uniform design method with 5 factors and 10 levels was designed. Based on the uniform design， a quadratic polynomial
model and an improved artificial neural network model were carried out to optimize the culture medium. By comparing
the effects of two models， we chose the optimal components of fermentation culture medium predicted by the improved
artificial neural network. The results showed that the improved artificial neural network had better fitting precision and
generalization capacities than quadratic polynomial model based on the same experimental design. By this improved
artificial neural network， the yield of Iturin A reached 1.121（±0.089）g/L after 48 hours of fermentation when the
concentrations of glucose， KH 2 PO 4 ， MgSO 4 •7H 2 O， yeast extract and total nitrogen in soy peptone were 42.6， 3.62，
3.14， 0.12 and 2 g/L， respectively. The yield increased by 13.23%， compared with the yield optimized by quadratic
polynomial model. |
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