Development of a new rate of penetration model using self-adaptive differential evolution-artificial neural network
Crossref DOI link: https://doi.org/10.1007/s12517-018-4185-z
Published Online: 2019-01-04
Published Print: 2019-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Elkatatny, Salaheldin
Text and Data Mining valid from 2019-01-01
Article History
Received: 19 September 2018
Accepted: 21 December 2018
First Online: 4 January 2019
Compliance with ethical standards
:
: The author declares that there is no conflict of interest.