maginfonet
A neural network model for earthquake magnitude estimation
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 6 DOI reference(s) in README -
✓Academic publication links
Links to: wiley.com, zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (11.3%) to scientific vocabulary
Repository
A neural network model for earthquake magnitude estimation
Basic Info
- Host: GitHub
- Owner: zw-Ch
- License: mit
- Language: Python
- Default Branch: main
- Size: 2.49 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
MagInfoNet
MagInfoNet is a Neural Network model used to estimate earthquake magnitudes.
Compared with traditional Machine Learning and previous Deep Learning models, MagInfoNet combines seismic signals with relevant information to improve the prediction accuracy.
The paper is available in https://doi.org/10.1029/2022EA002580.
Installation
MagInfoNet is based on Pytorch and Pytorch Geometric
Firstly please create a virtual environment for yourself
conda create -n your-env-name python=3.9
Then, there are some Python packages need to be installed
conda install pytorch torchvision torchaudio cudatoolkit=11.3
conda install pyg -c pyg
conda install matplotlib
conda install h5py==2.10.0
Dataset Preparation
The Dataset used in our paper can be downloaded from https://github.com/smousavi05/STEAD. Before running, you should donwload and store the data file in the folder dataset like
Program Description
Training and Testing Models
After the preparation of Dataset, you can run the programs in the foloder run to test the performance :
python run_MagInfoNet.py
Owner
- Name: czw
- Login: zw-Ch
- Kind: user
- Company: Xi'an Jiaotong University
- Repositories: 1
- Profile: https://github.com/zw-Ch
Citation (CITATION.cff)
cff-version: 1.0.0 message: "If you use this software, please cite it as below." authors: - family-names: "Chen" given-names: "Ziwei" orcid: "https://orcid.org/0000-0003-4418-7121" - family-names: "Wang" given-names: "Zhiguo" orcid: "https://orcid.org/0000-0003-0343-7278" - family-names: "Wu" given-names: "Shaojiang" orcid: "" - family-names: "Wang" given-names: "Yibo" orcid: "" - family-names: "Gao" given-names: "Jinghuai" orcid: "" title: "MagInfoNet" version: 1.0.0 doi: 10.5281/zenodo.7199231 date-released: 2022-10-15 url: "https://github.com/czw1296924847/MagInfoNet"