Climate change prediction by combination prediction method based on deep learning models

In order to accurately predict the future changes of climate and reduce the harm of climate warming to various fields around the world, this paper constructs a combined prediction model based on EMD-RVM to predict the future changes of climate. Firstly, the relevant factors affecting climate change are identified, and the data preprocessing is carried out for the relevant indexes of the influencing factors; Then, the model based on EMD-RVM is built to predict the future climate change; Finally, it is verified that the prediction accuracy is effective in predicting the future climate change. Through the prediction of climate change, the ability of climate change prediction is effectively improved, which provides a more accurate scientific basis for coping with climate change and environmental protection.