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Inferring shear wave velocity structure from surface wave dispersion data using CNN

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Name		Name	Last commit message	Last commit date
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data		data
data_cas		data_cas
train		train
train_cas		train_cas
.gitignore		.gitignore
LICENSE		LICENSE
Poster.jpg		Poster.jpg
Poster.pdf		Poster.pdf
README.md		README.md

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SWT_ML

Inferring shear wave velocity structure from surface wave dispersion data using Neural Network

with Mengyu Wu

Contents

rawData: IRIS

data: scripts to convert information in rawData to ML input (inputs are also saved here temporarily) syn_disp_from_vs: calculating synthetic dispersion based on vs profile dataPrepare.py: preparing training dataset(US) and testing dataset(CN)

train: scripts to do training and predicting Main_Train.py: run training (set self.pretrained = False, self.start = 0 in config.py before training) Main_Predict.py: predicting (set self.pretrained = True, self.start = 600 in config.py before predicting) checkLayer.py: plot a map to check result

work flow

data/dataPrepare.py, four parts separated by docstring
Main_Train.py
Main_Predict.py

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Inferring shear wave velocity structure from surface wave dispersion data using CNN

Apache-2.0 license

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