Application of M5 tree regression, MARS, and artificial neural network methods to predict the Nusselt number and output temperature of CuO based nanofluid flows in a car radiator
Mostafa Kahani, Mahyar Ghazvini, Behnam Mohseni-Gharyehsafa, Mohammad Hossein Ahmadi, Amin Pourfarhang, Motahareh Shokrgozar, Saeed Zeinali Heris
Topics & Concepts
NanofluidNusselt numberArtificial neural networkMars Exploration ProgramMaterials scienceCoolantRadiator (engine cooling)Multivariate adaptive regression splinesLinear regressionComputer scienceThermodynamicsArtificial intelligenceMachine learningReynolds numberMechanical engineeringPhysicsNanoparticlePolynomial regressionEngineeringNanotechnologyAstronomyTurbulenceNanofluid Flow and Heat TransferHeat Transfer MechanismsPower Transformer Diagnostics and Insulation