| BP神经网络方法预测聚乙二醇的羧基化率 |
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| 引用本文： | 傅应强,姚岚,孟祥松.BP神经网络方法预测聚乙二醇的羧基化率[J].广州化工,2009,37(2):77-80. |
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| 作者姓名： | 傅应强 姚岚 孟祥松 |
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| 作者单位： | 1. 安徽工程科技学院生物化学工程系,安徽,芜湖,241000
2. 芜湖卷烟厂,安徽,芜湖,241000 |
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| 基金项目： | 安徽省高等学校优秀青年人才基金 |
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| 摘 要： | 以聚乙二醇和高锰酸钾作为原料，用反应前后溶液电导率的变化值来表征研究聚乙二醇的羧基化率，电导率的变化值越大说明聚乙二醇的羧基化率越高。并对反应所需的反应条件（如pH值、温度和配比等）作了简单的探讨。研究这些反应条件的改变对聚乙二醇的羧基化率的影响。并以matlab语言编写BP神经网络，通过实验数据对网络进行训练，然后以训练好的网络对聚乙二醇的羧基化率进行预测，结果表明，我们所建立的两层BP神经网络对不同反应条件下聚乙二醇羧基化率的仿真结果和实验数据吻合程度最低的都达到了94％，最高的能达到99.9％左右。说明BP神经网络应用于化学反应过程的预测是切实可行的。
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| 关 键 词： | 人工神经网络 聚乙二醇 羧基化 |
Prediction of the Efficiency of Carboxylation Polyethylene Glycol Using BP Neural Network* |
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| FU Ying-qiang,YA Lan,MENG Xiang-song.Prediction of the Efficiency of Carboxylation Polyethylene Glycol Using BP Neural Network*[J].GuangZhou Chemical Industry and Technology,2009,37(2):77-80. |
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| Authors: | FU Ying-qiang YA Lan MENG Xiang-song |
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| Affiliation: | 1Department of Biochemical Engineering;Anhui University of Technology and Science;Anhui Wuhu 241000;2 Wuhu Cigerate Company;China |
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| Abstract: | Polyethylene glycol and potassium permanganate were used as reagents.Changes in conductance of the solution could be used to characterize and study the carboxylation of polyethylene glycol,when the conductance changed a lot.It indicated that the carboxylation degree of polyethylene glycol was higher.We also discussed the influence of experimental parameters such as pH value,temperature,ratio of reagents,and so on.And BP neural network developed and written by matlab languages,and then trained the network ac... |
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| Keywords: | neural networks polyethylene glycol carboxylation |
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