首页|Researchers’ Work from Indian Institute for Technology Focuses on Machine Learni ng (Prediction of Surface Roughness In Hybrid Magnetorheological Finishing of Si licon Using Machine Learning)
Researchers’ Work from Indian Institute for Technology Focuses on Machine Learni ng (Prediction of Surface Roughness In Hybrid Magnetorheological Finishing of Si licon Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Mumbai, India, by NewsRx journalists, research stated, “The machining learning-based predictive model of double disc chemo-magnetorheological finishing process of silicon was proposed in the present manuscript. Six different methods such as CatBoost Regressor, XGB oost, Random Forest Regressor, Gradient Boosting Regressor, Linear Regression, a nd AdaBoost Regressor were used to predict the surface roughness.” The news correspondents obtained a quote from the research from Indian Institute for Technology, “The models were trained by the experimental data of surface ro ughness of silicon wafer polished at combination of different set of parameters. The gradient boosting algorithm was introduced to train the dataset of the mode ls for the surface roughness of the silicon wafer. The robustness of the models was verified with K-fold cross method. The models were verified with the conditi on monitoring data collected by experimental results. The models were also devel oped for ultrasonic assistance during the double disc chemo-magnetorheological f inishing process. The CatBoost approach outperformed the other models. The accur acy of the CatBoost model was 99.92% and 98.35% for the experimental data without and with ultrasonic vibration assistance. The opti mised values from the predicted model were 4.21 nm and 3.4 nm without and with t he assistance of vibration for the chemo-magnetorheological finishing process an d have good agreement with the experimental results.”
MumbaiIndiaAsiaCyborgsEmerging T echnologiesMachine LearningIndian Institute for Technology
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