Litcius/Paper detail

New-generation machine learning models as prediction tools for modeling interfacial tension of hydrogen-brine system

Afeez Gbadamosi, Haruna Adamu, Jamilu Usman, A. G. Usman, Mahmud M. Jibril, Babatunde Abiodun Salami, Saheed Lekan Gbadamosi, Lukumon O. Oyedele, Sani I. Abba

2023International Journal of Hydrogen Energy58 citationsDOIOpen Access PDF

Topics & Concepts

Mean absolute percentage errorMean squared errorCorrelation coefficientComputer scienceLinear regressionBrineMachine learningArtificial intelligenceArtificial neural networkExtreme learning machineCoefficient of determinationSoil scienceStatisticsChemistryMathematicsEnvironmental scienceOrganic chemistryHydrocarbon exploration and reservoir analysisEnhanced Oil Recovery TechniquesMethane Hydrates and Related Phenomena