| 利用神经网络预测头孢菌素C的生物合成 |
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| 引用本文： | 冀志霞,储炬,庄英萍,张嗣良. 利用神经网络预测头孢菌素C的生物合成[J]. 中国抗生素杂志, 2007, 32(1): 17-21 |
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| 作者姓名： | 冀志霞 储炬 庄英萍 张嗣良 |
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| 作者单位： | 华东理工大学,生物反应器工程国家重点实验室,上海,200237 |
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| 摘 要： | 利用头孢菌素C发酵过程积累的数据,建立BP神经网络预估模型,实现以发酵前期的菌浓和pH对效价的预测,将此模型应用于生产实际,分别通过倒种和改变培养基中碳源组成的方法,使头孢菌素C的合成水平分别提高了11.8%和15.7%,表明模型具有较好的预测功能。
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| 关 键 词： | 头孢菌素C 反向传播 神经网络 预测 |
| 文章编号： | 1001-8689(2007)01-0017-05 |
| 修稿时间： | 2006-04-07 |
Prediction of the cephalosporin C biosynthesis by a back propagation neural network model |
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| Ji Zhi-xia,Chu Ju,Zhuang Ying-ping,Zhang Si-liang. Prediction of the cephalosporin C biosynthesis by a back propagation neural network model[J]. Chinese Journal of Antibiotics, 2007, 32(1): 17-21 |
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| Authors: | Ji Zhi-xia Chu Ju Zhuang Ying-ping Zhang Si-liang |
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| Affiliation: | State Key Laboratory of Bioreactor Engineering ECUST, Shanghai 200237 |
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| Abstract: | The back propagation(BP) neural network model was set up by cephalosporin C fermentation data,and the productivity was forecasted by PMV and pH changing tendency of early fermentation phase.The model was proved to be effective and with good prediction capacity.By increasing inoculum and changing medium carbon source,the productivity of cephalosporin C fermentation was further increased by 11.8% and 15.7%,respectively,which was well predicted by the established model. |
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| Keywords: | Cephalosporin C Back propagation Neural network model Prediction |
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