BP NETWORK TRAINING BASED ON SERIAL TIME-DELAY TREATMENT OF DATA INFORMATION
Hongyan Li · Journal of Beijing Normal University · 2010
The validity of data serial time-delay treatment is verified, which can improve simulation precision of the BP network on temporal series by the way of experimental comparison. The model is then used to forecast the river flood between Jiahetan and Gaocun of the lower reaches of the Yellow River. The result showed that the forecasting precision of BP network model which is accomplished by the above method is superior to that of the Muskingum method. In the practical application of flood forecasting, the delay line may adopt N=2. Not only do the training samples have time order effect, but also can give the variation of flood level (discharge) to the network in such kind of network. The training samples contain more information. It has a great significance to improve forecasting precision of the intelligent on the flood process.