ANN Based on Trend Identify and the Application in Hydrological Time Series Forecast
Zheng Zhiguo · Shenyang Nongye Daxue xuebao · 2006
The difference in order of magnitude and the distribution uniformity of the samples trained resuled in slow of ANN convergence,and the training results leaned to the bigger proportion part.Based on the effective application of AR Model in hydrological time series forecast,that trend item could be the biggest proportion in hydrological time series.So trend identify was used to rule the samples.The samples were the same order of magnitude,but their trends are invariable.Moreover the output did not dealt with non-linear function to ensure the greater forecast space of ANN.The method was validated by the data of Heihe basin.For ANN based on trend identify,training velocity is rapid and forecast effect is better in hydrological time series forecast.