| 时延神经网络应用于洪水预报 |
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| 引用本文： | 钱镜林,李富强,王文双.时延神经网络应用于洪水预报[J].水力发电学报,2009,28(4). |
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| 作者姓名： | 钱镜林 李富强 王文双 |
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| 作者单位： | 钱镜林,王文双(浙江省水利河口研究院,杭州,310020);李富强(浙江大学建筑工程学院,杭州,310027) |
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| 摘 要： | 本文运用时延神经网络模型来模拟降雨径流过程,根据Takens相空间重构理论对前期影响雨量进行重构,并将其作为神经网络降雨输入结点.该方法可以有效改变以往神经网络输入结点主观性的问题,为正确确定神经网络输入结点提供了理论依据.通过计算实例表明,该方法的降雨径流预测精度较高.
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| 关 键 词： | 径流预报 相空间重构 神经网络 |
Time delay neural network application to flood forecast |
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| QIAN Jinglin,LI Fuqiang,WANG Wenshuang.Time delay neural network application to flood forecast[J].Journal of Hydroelectric Engineering,2009,28(4). |
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| Authors: | QIAN Jinglin LI Fuqiang WANG Wenshuang |
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| Affiliation: | 1.Zhejiang Institute of Hydraulics & Estuary;Hangzhou 310020;China;2.College of Civil Engineering and Architecture;Zhejiang University;Hangzhou 310027;China |
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| Abstract: | This paper presents a method of delay neutral network for simulation of the rainfall runoff process.By applying the Takens phase space reconstruction theory,the rainfall time series of previous period is reconstructed,and the vector obtained is then used as the node input of the neutral network.This method is able to eliminate the subjectivity of existing methods in input estimation,and provides a theoretical basis to determine the correct values of the neutral network input.A case study shows the high effi... |
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| Keywords: | runoff forecast phase space reconstruction neural network |
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