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Machine Learning Algorithms to Predict Wear Behavior of Modified ZA-27 Alloy Under Varying Operating Parameters

Veerabhadrappa Algur, Poornima Hulipalled, V. Lokesha, Madeva Nagaral, V. Auradi

2021Journal of Bio- and Tribo-Corrosion27 citationsDOI

Topics & Concepts

Support vector machineRandom forestGaussian processAlgorithmGaussianAlloyRegression analysisKrigingLinear regressionRegressionComputer scienceMachine learningMathematicsMaterials scienceArtificial intelligenceStatisticsMetallurgyPhysicsQuantum mechanicsAluminum Alloys Composites PropertiesAdvanced ceramic materials synthesisOrthopaedic implants and arthroplasty
Machine Learning Algorithms to Predict Wear Behavior of Modified ZA-27 Alloy Under Varying Operating Parameters | Litcius