| 复杂枝状管网内不稳定流动数学模型的广义解 |
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| 引用本文： | 林万昌 黎明任军,黄学嘉. 复杂枝状管网内不稳定流动数学模型的广义解[J]. 西南石油大学学报(社会科学版), 2018, 17(4): 124-131. DOI: 10.3863/j.issn.1000-2634.1995.04.020 |
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| 作者姓名： | 林万昌 黎明任军 黄学嘉 |
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| 作者单位： | 1 基础部;2 油建系 |
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| 摘 要： | 考虑复杂枝状管网系统內不稳定流动,建立起压力分布的偏微分方程组的初边值问题的数学模型,利用线性算子半群方法得到了问题解存在唯一的结论,并利用算子级数法得到了问題的广义解。
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| 关 键 词： | 管网设计 数学模型 不稳定流动 偏微分方程组 广义解 |
| 收稿时间： | 1994-10-24 |
Nonlinear System Identification Based on Artificial Neural Network |
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| Lin Wan-chang Rin Jun Li Ming Huang Xue-jia. Nonlinear System Identification Based on Artificial Neural Network[J]. Journal of Southwest Petroleum University(Social Sciences Edition), 2018, 17(4): 124-131. DOI: 10.3863/j.issn.1000-2634.1995.04.020 |
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| Authors: | Lin Wan-chang Rin Jun Li Ming Huang Xue-jia |
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| Affiliation: | 1 Dept. of Basic Courses;2 Dept; of offshore oil Engineering） |
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| Abstract: | The artificial neural network (ANN) is a nonlinear dynamical system with the advantages, such as self adaptation, self organization and self learning. Basing on the fact that the artificial neural network has the ability to express any nonlinear mapping, this paper makes a system identification of nonlinear system. The simulation result obtained shows that the method is feasible and the calculation is precise. |
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| Keywords: | Artificial neural network Nonlinear system identification Nonlinear system |
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