Analysis of data prediction model based on EEMD-TCN
This paper describes a combined prediction model based on Set Empirical Mode Decomposition(EEMD)and Time Convolutional Network(TCN).Using EEMD to decompose the sample data,obtain several modal components IMF and residuals,input each component into the TCN model for prediction,and finally superimpose the prediction results of each component to obtain the final result.The experimental results show that this model has higher prediction accuracy than other comparative models.
NETL
NSTL
万方数据
维普
