One treatment of missing data based on control-points optimization smoothing method

The paper systematically analyzed the emerging of missing data and the mechanism of missing data, and researched into the treatment of missing data based on control-points optimization smoothing method. The experimental results show the forecast way based on control-points optimization smoothing method is ideal than the result from neural network, wavelet network model, and projection pursuit auto regression model, and the results, to some extent, can be popularized and applied in the forecast of missing data.