An application of chaotic theory in long range forecasts
- 42 Downloads
In this paper we combine chaotic theory with statistics to present three forecast models: a model of equal distance ind-dimensional phase space, a mode regression model of twelve units and a model of neighborhood model regression. Many experiments show that all these models can generate accurate forcasts.
KeywordsClimate Change Waste Water Model Regression Regression Model Water Management
Unable to display preview. Download preview PDF.
- Farmer, J. D., Sidorwich, J. J., 1987: Predicting chaotic time series.Phys. Rev. Letters,50, 845–849.Google Scholar
- Grassberger, P., Procaccia, I., 1983: Characterization of strange attractors.Phys. Rev. Letters,50, 346–349.Google Scholar
- Lin, Z. S., 1991: The phase space models for the longterm forecasting. Ph.D. Dissertation, Peking University.Google Scholar