High-speed railway subgrade settlement prediction and early warning method based on deep learning

The invention discloses a high-speed railway subgrade settlement prediction and early warning method based on deep learning, relates to the technical field of geological disaster prediction and early warning, and aims to realize more accurate subgrade settlement prediction and early warning in a complex natural environment. Performing data preprocessing on the data measured by the monitoring sensor to obtain a complete and smooth data set; establishing a high-speed railway subgrade settlement prediction model, dividing a complete and smooth data set into a training set and a test set, and putting the training set into the model for training to obtain a parameter matrix of the model; testing the trained high-speed railway roadbed settlement prediction model through the test set; performing precision evaluation on the prediction model according to a test result; the predicted settlement data is judged through an early warning model, and a corresponding early warning result is given; the method has the advantage