Preprint / Version 1

An overview of the role of Machine Learning in hydraulic and hydrological modeling

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DOI:

https://doi.org/10.31224/osf.io/wgm72

Keywords:

artificial science, emulation, machine learning, numerical methods, surrogate model

Abstract

We provide an overview of Machine learning (ML) and its role in hydrology and hydraulic. The aim is to ease the access of researchers in the latter fields to the techniques in ML.

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Posted

2018-08-15

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.