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DM423摇瓶培养过程生物量的BP神经网络软测量
引用本文:李冰,郭祀远,李琳,黎锡流.DM423摇瓶培养过程生物量的BP神经网络软测量[J].华南理工大学学报(自然科学版),2004,32(12):11-15.
作者姓名:李冰  郭祀远  李琳  黎锡流
作者单位:华南理工大学,食品与生物工程学院,广东,广州,510640;华南理工大学,食品与生物工程学院,广东,广州,510640;华南理工大学,食品与生物工程学院,广东,广州,510640;华南理工大学,食品与生物工程学院,广东,广州,510640
基金项目:国家自然科学基金青年基金资助项目 (2 0 30 6 0 0 7),国家自然科学基金重点资助项目 (2 0 4 36 0 2 0 )
摘    要:利用BP神经网络来描述腊样芽孢杆菌(Baeillus cereus DM423)(简称DM423)摇瓶培养过程中生物量与培养液初始葡萄糖含量和初始生物量之间的关系.建立了结构为2-6-3的BP神经网络.用所建立的神经网络对DM423摇瓶培养过程的生物量进行估算,发现估算值与实测值相当接近,表明网络有较好的泛化能力.此外,当初始葡萄糖含量超出测试样本范围时(分别为4.25和27.30g/L),网络对样本的预测结果也相当理想,预测的平均相对误差为1.95%.

关 键 词:BP神经网络  摇瓶培养  生物量  估算  泛化能力
文章编号:1000-565X(2004)12-0011-05
修稿时间:2004年8月25日

BP Neural Network-based Software Measurement for DM423 Biomass During Flask Cultivation
Li Bing Guo Si-yuan Li Lin Li Xi-liu.BP Neural Network-based Software Measurement for DM423 Biomass During Flask Cultivation[J].Journal of South China University of Technology(Natural Science Edition),2004,32(12):11-15.
Authors:Li Bing Guo Si-yuan Li Lin Li Xi-liu
Abstract:The relationship between the initial conditions (initial glucose content and ini tial biomass) and the biomass during the flask cultivation of Baeillus cereus DM423 was described by BP neural network. A 2-6-3 topo- logy of the BP neural network was then constructed. The estimation results of biomass by the BP neural network show that there is little difference between the calculated valu es and the experimental ones, which means that the constructed neural network ha s a good generalization. The proposed network also promises rather good predicti on results when the initial glucose contents are 4.25 and 27.30 g/L, and the ave rage relative error of the estimation is 1.95%.
Keywords:BP neural network  flask cultivation  biomass  est imation  generalization
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