A Kind of Short-term Height-Prediction of Tidal Level of Rivers Based on BP Neural Network Model

HE Feng , WANG Rui-rong , WANG Jian-zhong , XUE An-ke , XIE Fa-quan ,  HE Xiao-hong , SUN Ying-hong

Journal of Changjiang River Scientific Research Institute ›› 2011, Vol. 28 ›› Issue (1) : 21-24.

PDF(1234 KB)
PDF(1234 KB)
Journal of Changjiang River Scientific Research Institute ›› 2011, Vol. 28 ›› Issue (1) : 21-24.
HEALTHY CHANGJIANG RIVER

A Kind of Short-term Height-Prediction of Tidal Level of Rivers Based on BP Neural Network Model

  • HE Feng 1, WANG Rui-rong 1, WANG Jian-zhong 1, XUE An-ke 1, XIE Fa-quan 2,  HE Xiao-hong 2, SUN Ying-hong 2
Author information +
History +

Abstract

In comparison between the tide bore of rivers and the tide of ocean, the occurrence  time and height of the river tide bore has the same feature as the ocean tide ; but the river tide bore is influenced more easily by astronomy, weather and other factors, so it has the instability that is different from the ocean tide ; the tide level of the tidal bore is the comprehensive result influenced by all kinds of factors. Since the BP neural network can approach any non-linear function, a short-term prediction model of the tidal height has been constructed. Some historical tidal data, as a training sample, are used to train the model, and others are used to predict the tidal data. Finally, the validity and the feature of the prediction model have been verified.

Key words

tide bore  /   / BP neural network   / tide level  /   / short-term prediction

Cite this article

Download Citations
HE Feng , WANG Rui-rong , WANG Jian-zhong , XUE An-ke , XIE Fa-quan ,  HE Xiao-hong , SUN Ying-hong. A Kind of Short-term Height-Prediction of Tidal Level of Rivers Based on BP Neural Network Model[J]. Journal of Changjiang River Scientific Research Institute. 2011, 28(1): 21-24
PDF(1234 KB)

Accesses

Citation

Detail

Sections
Recommended

/