Author(s): Ximin Yuan; Hongyan Li; Shukun Liu; Hanbing Liu
Linked Author(s): Ximin Yuan
Keywords: Flood forecasting; Raising precision; Neural network; Improvingalgorithm
Abstract: Flood disaster is becoming more frequently day by day and the loss is always increasing. It is very important for us to adopt advanced flood forecasting technology to improve flood control decision accurately and reliably. The flood forecasting method based on artificial neural network is introduced in this paper. The improved BP neural network model is discussed here. The structural patterns and methods to converge of neural network are mainly investigated. The basic method of neural network used in the forecasting of rainfall runoff, river flood and river system flood is studied. In the meantime, the algorithm of correcting errors of flood peak values is adopted in learning neural network models. The models are proved by the examples of forecasting rainfall runoff and Huang He water-sand process.
Year: 2001