| 基于RBF神经网络的水闸垂直位移时间序列预测模型 |
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| 引用本文： | 曹欣荣,楼章华,孙宏巍.基于RBF神经网络的水闸垂直位移时间序列预测模型[J].三峡大学学报(自然科学版),2010,32(5):17-19. |
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| 作者姓名： | 曹欣荣 楼章华 孙宏巍 |
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| 作者单位： | [1]浙江同济科技职业学院,杭州311231 [2]浙江大学建筑工程学院,杭州310027 [3]湖州市环湖大堤管理所,浙江湖州313000 |
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| 摘 要： | 水闸垂直位移是水闸安全的重要特征之一.针对传统水闸垂直位移预测模型的不足,提出了基于RBF神经网络的时间序列预测模型,该模型克服了传统模型容易陷入局部极小和运算迭代量大的缺点,有效地提高学习速度,使得预测精度大大提高.利用Matlab的RBF神经网络工具箱建立了垂直位移时间序列预测模型,并应用于实际工程中,取得了较高的拟合预报精度.
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| 关 键 词： | 水闸垂直位移 RBF神经网络 时间序列 预测模型 神经网络工具箱 |
Time Series Prediction Model of Vertical Displacement of Water Gate Based on RBF Neural Network |
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| Cao Xinrong,Lou Zhanghua,Sun Hongwei.Time Series Prediction Model of Vertical Displacement of Water Gate Based on RBF Neural Network[J].Journal of China Three Gorges University(Natural Sciences),2010,32(5):17-19. |
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| Authors: | Cao Xinrong Lou Zhanghua Sun Hongwei |
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| Institution: | 1.Zhejiang Tongji College of Science and Technology,Hangzhou 311231,China;2.College of Civil Engineering and Architecture,Zhejiang Univ.,Hangzhou 310027,China;3.Huzhou Taihu Lake Bank Administrative Bureau,Huzhou 313000,China) |
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| Abstract: | The vertical displacement is one of the important characters of water gate safety.In light of the shortcomings of traditional prediction model,a time series prediction model based on radial basis function（RBF） neural network is put forward,so as to overcome the local minimum and huge amount of iterated operation problems and boost the prediction speed,precision efficiently.The new prediction model is built on the Matlab RBF neural network toolbox;and it works well in practical engineering. |
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| Keywords: | vertical displacement of water gate RBF neural network time series prediction model neural network toolbox |
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