| 反向传播网络在乙烯裂解炉预测分析中的应用研究 |
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| 引用本文： | 王娜,毛先萍.反向传播网络在乙烯裂解炉预测分析中的应用研究[J].四川化工,2009,12(4):33-36. |
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| 作者姓名： | 王娜 毛先萍 |
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| 作者单位： | 新疆大学化学化工学院,新疆乌鲁木齐,830046 |
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| 摘 要： | 利用MATLAB工具箱中的BP神经网络模型建立了乙烯裂解炉的三层神经网络模型，分析和预测了裂解产物乙烯和丙烯的收率，将预测的结果和生产过程数据作比较，结果表明，该模型的预测值和实际生产数据值吻合很好，可用于乙烯生产的预测分析和预测控制。
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| 关 键 词： | BP神经网络 乙烯裂解炉 预测分析 Matlab |
The Applied Study of Ethylene Polysis Furnace in Prediction Analysis by BP Neural Network |
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| Wang Na,Mao Xianping.The Applied Study of Ethylene Polysis Furnace in Prediction Analysis by BP Neural Network[J].sichuan chemical industry,2009,12(4):33-36. |
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| Authors: | Wang Na Mao Xianping |
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| Affiliation: | College of Chemistry and Chemical Engineering;Xinjiang University;Urumqi;830046;Xinjiang;China |
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| Abstract: | The three layer neural network model of ethylene polysis furnace was created by BP method of MATLAB package,which analyzes and predicts the yields of ethylene and propylene.Comparison of the predicted results and the experimental data proved that the predicted values of this model can fit the actual production process,and be used to the prediction analysis and predictive control in ethylene Production. |
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| Keywords: | Matlab |
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