Dataset for the paper "Identification of CME-Driven Shocks Based on Numerical Simulation and Deep Learning"

The folder includes:(1) 3D CME numerical simulation data, selected using the MHD method with the GCS-based flux-rope model as the CME initialization model. It simulates the propagation and evolution of CME in a non-uniform background solar wind.(2) CME-driven shock prediction data based on CNN methods.

The file predict.xlsx contains the evaluation results of the CNN model, including BCE loss for each CME simulation time, and a comparison of execution times between CNN and traditional methods.(3) training_log.csv is the model training log, including the loss rates for the training and testing datasets for each epoch, the training time for a single epoch, total training time, and learning rate updates.Sec4_DATA: Data for Section 4 of the paper, used for validating the CNN method.