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Artificial neural network to characterize spatially varying quantity through random field approach

Crossref DOI link: https://doi.org/10.1007/s00521-024-10955-z

Published Online: 2025-01-04

Published Print: 2025-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kumar, Pratyush https://orcid.org/0000-0001-7955-3721
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Text and Data Mining valid from 2025-01-04

Version of Record valid from 2025-01-04
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Article History

Received: 1 February 2024

Accepted: 16 December 2024

First Online: 4 January 2025

Declarations

:

: The author affirms that there is no conflict of interest.