Published October 14, 2023 | Version v1
Peer review Open

A Mass-Conserving-Perceptron for Machine-Learning-Based Modeling of Geoscientific Systems

  • 1. ROR icon Oak Ridge National Laboratory
  • 2. ROR icon University of Arizona

Contributors

Supervisor:

  • 1. ROR icon University of Arizona

Description

This release contains the codes and related data to train single-node mass-conserving perceptron as shown in the below submitted manuscript.

Wang, Y.H., & Gupta, H.V. (2023). A Mass-Conserving-Perceptron for Machine-Learning-Based Modeling of Geoscientific Systems. Water Resources Research, Submitted for Publication.

Files

Instructions_README.pdf

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