Vibration trend prediction based on gray LSSVM combination model for mine main ventilator

A novel combination prediction model based on gray theory and Least Squares Support Vector Machines(LSSVM) is put forward. Firstly, GM(1,1) model is adopted to forecast the trend item in non-stationary time series; Secondly, LSSVM model is used to predict the residual sequences of the GM(1,1); Finally, the prediction values are computed by adding the trend item and residual prediction values. Furthermore, this model is used to predict the vibration trend of mine main ventilator. The results show that this combination model can get the best predicting precision. Therefore, this model can satisfy the engineering application requirement.