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Commit 8c20881f authored by Lars Yström's avatar Lars Yström
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# NRG - An artificial neural network solute geothermometer
## Name
NRG (Neural Regression Geothermometer)
## Description
An artificial neural network solute geothermometer for geothermal reservoir temperature prediction
## Function
Supervised feedforward multilayer perceptron solving the regression analysis of fluid chemistry to predict reservoir temperature.
## Installation
NRG is based on Python 3.8.5 and additional Python libraries: _NumPy, pandas, Matplotlib, seaborn, scikit-learn, TensorFlow, Keras_
## Usage
INPUT: cvs-file:['pH','Na','K','Ca','Mg','SiO2','Cl','Temperature']
OUTPUT: graphical output of predicted vs. measured data, and error diagrams/values
## Support
lars.ystroem@kit.edu
## Authors
Vollmer, M.; Ystroem, L.H.
## License
MIT License
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