An Application Research of Rainfall-Water level Forecast Model Based on BP Network

ZHAN Yu-Lin; WANG Chang-Yao; NIU Zheng

doi:10.7523/j.issn.2095-6134.2007.1.012

Journal of University of Chinese Academy of Sciences >

2007 , Vol. 24 >Issue 1: 81 - 85

DOI: https://doi.org/10.7523/j.issn.2095-6134.2007.1.012

论文

An Application Research of Rainfall-Water level Forecast Model Based on BP Network

ZHAN Yu-Lin ,
WANG Chang-Yao ,
NIU Zheng

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State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing Applications, Chinese Academy of Science

Received date: 1900-01-01

Revised date: 1900-01-01

Online published: 2007-01-15

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Abstract

In this paper, the momentum and learning rate adaptive adjustment algorithm is improved in BP Network. The structure of BP network and the data processing method of flood forecast mode are discussed. In order to predict the flood water level directly, the rainfall-water level forecast model is built. Furthermore, a new modeling scheme, in which the point rainfall data are used as the model input, is proposed, and the accuracy of BP network is improved.

Key words： BP Network; Rainfall-Water Level Modeling; Point Rainfall

Cite this article

ZHAN Yu-Lin , WANG Chang-Yao , NIU Zheng . An Application Research of Rainfall-Water level Forecast Model Based on BP Network[J]. Journal of University of Chinese Academy of Sciences, 2007 , 24(1) : 81 -85 . DOI: 10.7523/j.issn.2095-6134.2007.1.012

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