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| 摘要: |
| 根据南京炼油厂所提供的柴油稠和凝点和冷滤点基础数据，用人工神经网络（ＡＮＮ）的反向传播ＢＰ算法对凝点和冷滤点进行预测，提出了适宜的人工神经网络后拓扑结构，讨论了ＢＰ算法中学习速率，动量系统及过拟合现象对网络的影响，通过实验数据的检验，证明了用ＡＮＮ方法建立的柴油调和模型能有效地给出预测信息，研究表明，ＡＮＮ方法比常用的调和系数模型，凝点指数模型，凝点换算因子模型等更能准确地关联和预报调和柴油的凝点 |
| 关键词: 神经网络 柴油 调和 凝点 冷凝点 BP算法 ANN法 |
| DOI： |
| 分类号:TE622.5 TE624.61 |
| 基金项目: |
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| Predicting Solidifying Point And Cold Filter Plugging Point of Blended Diesel Oil with ANN Method. |
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Li Weimin Wu Guoying Wang Hongyan
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| Abstract: |
| According to the date base of Solidifying Point(SP)and Cold Filter Plugging Point(CFPP) of the blending diesel oil that Institute of Nanjing Oil Refinery offered,the artificial neural network(ANN) was used for prediction SP and CFPP with back-propagation( |
| Key words: artificial neural network,diesel oil blending,solidifying point,cold filter plugging point,BP algorithm |
