One High Embedded Dimensions Chaotic Forecasting Method Base on Degree of Incidence
Jiang Chuan · Systems engineering and electronics · 2002
The chaos forecasting methods used recently, which apply Euclid distance to determine the nearest point in phase space to forecast chaos time series with high dimensions, are not so effective. In this paper, one new idea based on incidence-degree instead of Euclid distance is firstly put forward to determine the nearest point in phase space. The test result of runoff forecasting series shows that the precision of runoff forecasting is greatly improved by means of the new method when the embedded dimensions is high, compared with the method used recently.\;