Notice of RetractionThe Model of Phase Space Reconstruction and Neural Network about the Natural Disaster Losing Forecasting

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Introducing chaos theory into the floodwater disaster resources field, the forecasting model for the inundated area of flood disaster was brought forward integrating reconstruction of phase space and neural network. One dimension inundated area series is developed many dimension inundated area series with reconstruction of phase space, and multi- dimension series include the ergodic information, so the more rich information can be excavated for ANN training; and the non-linear problem better can be solved by the neural network, as a result, forecasting can be more fitting for practice. The example shows the model has highly fitting accuracy and forecasting precision.