BP neural networks model of forecasting sediment discharge based on chaos phase space
Xianqi Zhang · Journal of Hydroelectric Engineering · 2007
There are lots of factors which influence the evolvement law of sediment discharge,and it is very difficult to be known and gained,it results in low precision of simulation and forecast.Based on analysis of chaos characteristic of sediment discharge time series,BP neural networks model based on chaos phase space is proposed to forecast the sediment discharge through embedding dimension.Considering the influence of dynamical factor of sediment discharge as well as the difficulty of calculating number of input cell,the model is provided with strong nonlinear mapping capacity and applied to simulate and forecast monthly sediment discharge of Longchuan river watershed,the outcome is reasonable with higher precision.