首页|Findings from KLE Technological University Has Provided New Data on Machine Lear ning (Machine Learning Approach To the Prediction of Surface Roughness of Turned Glass/basalt Epoxy Composites)
Findings from KLE Technological University Has Provided New Data on Machine Lear ning (Machine Learning Approach To the Prediction of Surface Roughness of Turned Glass/basalt Epoxy Composites)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting out of Belagavi, India, by NewsRx editor s, research stated, “In this work, the Machine Learning techniques namely Suppor t Vector Regression, Random forest methodand Extreme Gradient Boosting (XGBOOST) are utilized for the prediction of Surface Roughness in the turning process of Glass/Basalt epoxy hybrid composites. The experiments were conducted in accordan ce with the Taguchi's L27 orthogonal array.”
BelagaviIndiaAsiaCyborgsEmerging TechnologiesMachine LearningKLE Technological University
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