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›› 2007, Vol. 24 ›› Issue (1): 81-85.DOI: 10.7523/j.issn.2095-6134.2007.1.012

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

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

  1. State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing Applications, Chinese Academy of Science
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-01-15

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

CLC Number: