Forecast of coal and gas outburst based on chaotic time series

Chaotic time series forecast is a new forecast theory and method based on phase space reconstruction technology. The selection of delay time and embedding dimension is vital both to the feasibility of forecast method and the veracity of forecast value. Using C-C method to select the delay time and G-P arithmetic to select the embedding dimension, applying zero-rank local region method and one-rank local region method to forecast coal and gas outburst. Both of the two methods have the idea of multi-objects optimization and construct a forecast model of the system. Analyzing modeling and forecasting according to a series actual data, and realize the forecast based on Matlab.