Abstract We consider the shortcomings of single satellite clock error prediction model.In this paper, based on three kinds of single model, i.e., the quadratic polynomial, the gray GM (1, 1) and the ARIMA models, the optimal non-negative variable weight combination forecasting model is proposed. Comparison with the single model and the classic weight combination model, shows that the RMS value of the optimal non-negative variable weight combination model prediction residual is smallest and its accuracy is higher. Moreover, it can give different weights according to the advantages and disadvantages of each model and sum up the advantages of a variety of single models in a certain degree and reduce the forecast risk. Furthermore，it can also improve the reliability of the model forecast.
LI Feida,TANG Shihua,LAN Lan et al. Application of the Optimal Non-Negative Variable Weight Combination Model for Satellite Clock Bias Prediction[J]. jgg, 2017, 37(9): 942-945.
LI Feida,TANG Shihua,LAN Lan et al. Application of the Optimal Non-Negative Variable Weight Combination Model for Satellite Clock Bias Prediction[J]. jgg, 2017, 37(9): 942-945.
