An intelligent approach to predict gas compressibility factor using neural network model
Crossref DOI link: https://doi.org/10.1007/s00521-017-2979-7
Published Online: 2017-04-18
Published Print: 2019-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Azizi, Navid
Rezakazemi, Mashallah
Zarei, Mohammad Mehdi http://orcid.org/0000-0001-6710-9885
Text and Data Mining valid from 2017-04-18
Article History
Received: 14 October 2016
Accepted: 24 March 2017
First Online: 18 April 2017
Compliance with ethical standards
:
: The authors declare that they have no conflict of interest.