THE MODEL OF PHASE SPACE RECONSTRUCTION AND NEURAL NETWORK ABOUT THE NATURAL DISASTER LOSING FORCASTING

摘要：

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.

作者: Lianhai CAO Zhiping LI Nanxiang CHEN

作者单位: North China University of Water Conservancy and Hydroelectric Power, Zhengzhou 450011

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）