Multi-Channel Microseismic Event Classification Using MPA-SincNet
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://zenodo.org/record/14848007
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资源简介：
The uploaded .zip file contains data and network of mircoseismic classification program.
network Folder:
get_dataset.py: Used to construct the dataset.
ippa.py: Implements the IPPA attention mechanism, which consists of an Adaptive Average Pooling (AAP) block and an Adaptive Max Pooling (AMP) block.
sincnet.py: Contains the first layer structure of the SincNet model.
model.py: Implements the overall structure of the MPA-SincNet model, combining SincNet and the IPPA attention mechanism.
resources Folder:
checkpoint.pth: Saves model parameters during training for resuming training or inference.
raw_train_data.pkl: Raw training data, consisting of unprocessed signal data.
signal_selected_predict_data.pkl: Prediction data after signal selection and preprocessing.
signal_selected_train_data.pkl: Training data after signal selection and preprocessing.
Other Files:
data_select_and_preprocess.py: Used for signal selection and data preprocessing.
train.py: Contains training and validation code, responsible for the model training process, including loss calculation, optimizer setup, model saving, and performance evaluation.
predict.py: Contains prediction code, used to make predictions on new data using the trained model.
创建时间：
2025-02-15
