Residual Neural Network for Ordinary Differential Equations

The dataset used in this paper is a collection of data points generated from three sets of targets training the ResNet. The targets are generated using forward Euler, Runge-Kutta2 and Runge-Kutta4 finite difference methods.

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Cite this as

Changxin Qiua, Aaron Bendickson, Joshua Kalyanapu, Jue Yan (2024). Dataset: Residual Neural Network for Ordinary Differential Equations. https://doi.org/10.57702/94h7dvw3

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Author Changxin Qiua
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Aaron Bendickson
Joshua Kalyanapu
Jue Yan