This repository is the official PyTorch implementation of Neural Network-Based Strong Motion Prediction for On-Site Earthquake Early Warning
ISMP (Intelligent Strong Motion Prediction) uses a convolutional neural network to effectively extract relevant features from the initial P-waves to predict whether the peak ground acceleration of subsequent waves surpasses 80 Gal.
- Can be download directly from "dataset" folder of this repository.
- Please place the dataset under the "data" folder which in the same directory of "run_train.py" and "run_test.py"
python run_train.py
python run_test.py