Abstract:Based on least squares method, wavelet denoising, wavelet neural network and BP neural network, we construct nine kinds of prediction models of Earth rotation parameters. The results show that the prediction of Earth rotation parameters based on BP neural network is not effective, and the RMSE is greater than 1.5 mas. The least squares and wavelet neural network combined model has the best prediction effect, and the RMSE is less than 1.3 mas. For the prediction of length of day, the combined model of least squares and wavelet neural network is not good, and the RMSE is greater than 0.18 ms. The RMSE of wavelet neural network prediction model is the smallest, which is 0.07 ms. The results show that the wavelet neural network prediction model has the best prediction effect on the length of day.
WANG Shuaimin,ZHAO Yiqi,WANG Zhenhua et al. Comparison of Earth Rotation Parameters Prediction Based on Different Combination Models[J]. jgg, 2024, 44(4): 377-381.