A methodology to assess and improve the physics consistency of an artificial neural network regression model for engineering applications
Crossref DOI link: https://doi.org/10.1186/s40323-022-00224-w
Published Online: 2022-07-02
Published Print: 2022-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Rajasekhar Nicodemus, E. https://orcid.org/0000-0003-3866-0496
Text and Data Mining valid from 2022-07-02
Version of Record valid from 2022-07-02
Article History
Received: 2 February 2022
Accepted: 4 June 2022
First Online: 2 July 2022
Declarations
:
: The author declare that they have no competing interests.