Complex-CNN-Seismic

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Complex-CNN-Seismic

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Code accompanying the paper "Complex-valued neural networks for machine learning on non-stationary physical data".

Complex-CNN-Seismic 최신버젼 다운로드

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// repository documentation

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# Complex-CNN-Seismic
This repository reproduces "Complex-valued neural networks for machine learning on non-stationary physical data".

## Data
Obtained from https://github.com/olivesgatech/facies_classification_benchmark via
```
# download the files: 
wget https://zenodo.org/record/3755060/files/data.zip
# check that the md5 checksum matches: 
openssl dgst -md5 data.zip # Make sure the result looks like this: MD5(data.zip)= bc5932279831a95c0b244fd765376d85, otherwise the downloaded data.zip is corrupted. 
```

Preparation for training via `src/data_prep.py`.

## Training
Training done on GPU cluster using `src/mass_train.py`.

## Prediction
Use trained models to generate predictions `src/save_predictions.py`.

## Analysis
Numerical and qualitative analysis generated via `src/explore.py`.

## Citation
Please cite the according paper as
```
@article{dramsch2020complex,
  title={Complex-valued neural networks for machine learning on non-stationary physical data},
  author={Dramsch, Jesper S{\"o}ren and L{\"u}thje, Mikael and Christensen, Anders Nymark},
  journal={Computers \& Geosciences},
  pages={104643},
  year={2020},
  publisher={Elsevier}
}
```

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