Prediction of penetration rate in drilling operations: a comparative study of three neural network forecast methods
Crossref DOI link: https://doi.org/10.1007/s13202-020-01066-1
Published Online: 2021-01-08
Published Print: 2021-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Brenjkar, Ehsan
Biniaz Delijani, Ebrahim http://orcid.org/0000-0002-3137-3905
Karroubi, Kasra
Text and Data Mining valid from 2021-01-08
Version of Record valid from 2021-01-08
Article History
Received: 11 July 2020
Accepted: 10 December 2020
First Online: 8 January 2021
Compliance with ethical standards
:
: The authors declare that they have no conflict of interest.