Litcius/Paper detail

Using different machine learning algorithms to predict the rheological behavior of oil SAE40-based nano-lubricant in the presence of MWCNT and MgO nanoparticles

Mohammadreza Baghoolizadeh, Navid Nasajpour-Esfahani, Mostafa Pirmoradian, Davood Toghraie

2023Tribology International42 citationsDOI

Topics & Concepts

AlgorithmLubricantSupport vector machineComputer scienceGroup method of data handlingExtreme learning machineBroyden–Fletcher–Goldfarb–Shanno algorithmArtificial intelligenceMachine learningDecision treeRheologyArtificial neural networkNanoparticleMathematicsMaterials scienceEngineeringMechanical engineeringNanotechnologyAsynchronous communicationComposite materialComputer networkLubricants and Their AdditivesPetroleum Processing and AnalysisPower Transformer Diagnostics and Insulation
Using different machine learning algorithms to predict the rheological behavior of oil SAE40-based nano-lubricant in the presence of MWCNT and MgO nanoparticles | Litcius