Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software
Data sources: ZENODO
Zenodo
Claim

Code for Randomized Neural Networks for Integro-Differential Equations with Application to Neutron Transport

integration_instructionsResearch softwarekeyboard_double_arrow_right Software Under curationPublisher:Zenodo
Authors: Dang, Haoning; Wang, Fei; Chen, Yifan; Liu, Zhouyu; Liu, Dong; Wu, Hongchun;

doi: 10.5281/zenodo.21272645

Code for Randomized Neural Networks for Integro-Differential Equations with Application to Neutron Transport

Abstract

This release contains the code associated with the published article: Randomized neural networks for integro-differential equations with application to neutron transport Version: v1.0.0 Release type: final code release for the published article Contents Source code for RaNN-NTE Scripts used for model training, and evaluation Configuration files and environment/dependency information Instructions for reproducing the main results reported in the article Notes This release corresponds to the version of the code used in the published article. If using this code, please cite the associated article and the archived Zenodo record.

Powered by OpenAIRE graph
Found an issue? Give us feedback