Application of Phase Space Reconstruction and Neural Network in Flood Disaster Losing Forcasting
Jianxin Xu · Journal of Earth Sciences and Environment · 2006
Introducing chaos theory in the disaster resources field,the forecasting models for the inundated area of flood disaster were brought forward integrating reconstruction of phase space and neural network.One-dimension inundated area series is developed to multi-dimension inundated area series with reconstruction of phase space,and the multi-dimension series include ergodic information,so that more abundant information can be found in favor of ANN training.With neural network,non-linear problem can be solved better,as a result,forecasting can accord well with practice even more.The example indicates that the model has highly forecasting precision.