| 人工神经网络预测热油环道启动压力 |
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| 引用本文： | 刘刚,张国忠.人工神经网络预测热油环道启动压力[J].天然气与石油,2002,20(3):1-3. |
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| 作者姓名： | 刘刚 张国忠 |
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| 作者单位： | 石油大学,华东,储运技术重点实验室,山东,东营,257061 |
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| 摘 要： | 高含蜡原油管道停输后的再启动问题非常复杂。它涉及因素多，问题的非线性很强。而有足够多神经元的S型三层神经网络理论上可逼近任意有理函数。文章采用误差反向传播网络预测环道实验装置中的启动压力，得到了较好结果。
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| 关 键 词： | 含蜡原油 再启动压力 人工神经网络 预测 热油环道 启动压力 原油管道 |
| 文章编号： | 1006-5539(2002)03-0001-03 |
| 修稿时间： | 2001年11月12 |
Usage of Artificial Neuron Network for Prediction of Start-up Pressure |
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| Liu Gang,Zhang Guozhong.Usage of Artificial Neuron Network for Prediction of Start-up Pressure[J].Natural Gas and Oil,2002,20(3):1-3. |
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| Authors: | Liu Gang Zhang Guozhong |
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| Abstract: | Very complex is the start up in pipeline transportation of gelled waxy crude oil after a period of shutdown;it involves many factors with strong nonlinearity.It is proved that the 3 layer S type neuron networks with enough neuron cells can theoretically approximate any rational function.The back propagation networks are used to predict the start up pressure in experimental circle pipeline instruments simulating pipelines in practice and some useful results are obtained. |
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| Keywords: | Waxy crude oil Start up pressure Neuron networks |
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