| 李富强.混沌时间序列的伏尔托拉滤波器在大坝监测分析中的应用[J].水利学报,2004,35(4):0118-0122 |
| 混沌时间序列的伏尔托拉滤波器在大坝监测分析中的应用 |
| Application of Volterra filter for chaotic time series to analysis of dam monitoring data |
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| DOI： |
| 中文关键词: 回归模型 混沌时序列 残差 伏尔托拉滤波器 大坝 |
| 英文关键词: regression model chaotic time series residual error Voterra filter monitoring data dam deformation |
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| 摘要点击次数: 2072 |
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| 中文摘要: |
| 基于混沌动力系统相空间的重构，对大坝变形回归模型的残差序列采用二阶伏尔托拉(Volterra)滤波器建立模型，将回归模型与Volterra滤波器模型相结合，进行大坝变形观测数据的拟合与预报。应用实例表明，应用二阶Volterra滤波器对具有混沌成分的回归模型残差时序列进行分析，可以有效地提高拟合精度和预报精度。 |
| 英文摘要: |
| Based on the reconstruction of state space in chaotic dynamic system the second order Volterra filter is used to establish the model for the residual error series of dam deformation regression model. The regression model is integrated with Volterra filter to fit the monitoring data of dam deformation and to carry out forecasting. Example of application shows that this method effectively promotes the accuracy of data fitting and forecasting. |
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