| ARMAX模型与多层BP网络流量演算法比较 |
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| 引用本文： | 姜铁兵,舒畅,沈同林,杨俊杰.ARMAX模型与多层BP网络流量演算法比较[J].华中科技大学学报(自然科学版),1998(10). |
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| 作者姓名： | 姜铁兵 舒畅 沈同林 杨俊杰 |
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| 作者单位： | 华中理工大学电力工程系 |
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| 基金项目： | 湖北省自然科学基金（96J014），华中理工大学能源学院教育基金资助项目 |
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| 摘 要： | 分别给出了将ＡＲＭＡＸ模型及多层ＢＰ网络应用于流量演算中模型参数确定的方法；提出了一种可进行误差实时校正的改进ＡＲＭＡＸ模型，并认为该模型实质上是一种特殊的两层ＢＰ网络；用一个实际算例将改进ＡＲＭＡＸ模型与多层ＢＰ网络两种方法作了对比分析．
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| 关 键 词： | 流量演算 非线性 多层神经元网络 自回归滑动平均模型 |
Flow Routing Methods Based on ARMAX Model and Multilayer BP Neural Networks |
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| Jiang Tiebing,Assoc. Prof., Dpet. of Electric Power Eng.,HUST,Wuhan ,China. Shu Chang,Shen Tonglin,Yang Junjie.Flow Routing Methods Based on ARMAX Model and Multilayer BP Neural Networks[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1998(10). |
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| Authors: | Jiang Tiebing Assoc Prof Dpet of Electric Power Eng HUST Wuhan China Shu Chang Shen Tonglin Yang Junjie |
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| Institution: | Jiang Tiebing,Assoc. Prof., Dpet. of Electric Power Eng.,HUST,Wuhan 430074,China. Shu Chang,Shen Tonglin,Yang Junjie |
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| Abstract: | In order to deal with the nonlinear problems in flow routing, two methods based on AR- MAX model and multilayer BP neural networks are developed respectively. An improved ARMAX model is presented which could rectify errors in real-time. This model is a special kind of two-layer BP network actually. The comparison of the efficiency of the two methods is analyzed theoretically. The BP model could simulate the real nonlinear hydrologic systems directly. The simulated results indicate that both of the methods are of high efficiency. |
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| Keywords: | flow routing nonlinear multilayer neural networks ARMAX |
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