Chaotic Time Series and Its Application of GDP (1978～2000) Forecasting in China
Yun Liu · Industrial Engineering and Engineering Management · 2004
The research on forecasting method of chaotic economic time series is the important part of the nonlinear chaotic economic dynamic systems. Based on chaotic dynamic principle, phase space reconstruction of chaotic time series and part forecasting, a chaotic phase space model is proposed. The effectiveness of the proposed method is tested by comparison of the real data with the regulative forecasting model for GDP of 1978～2000 in China.