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ARMAX模型与多层BP网络流量演算法比较

Flow Routing Methods Based on ARMAX Model and Multilayer BP Neural Networks

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【作者】 姜铁兵舒畅沈同林杨俊杰

【Author】 Jiang Tiebing,Assoc. Prof.; Dpet. of Electric Power Eng., HUST, Wuhan 430074, China. Shu Chang, Shen Tonglin, Yang Junjie

【机构】 华中理工大学电力工程系

【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.

【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.

【基金】 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
  • 【分类号】P333.6
  • 【被引频次】3
  • 【下载频次】65
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