首页|Department of Mechanical Engineering Reports Findings in Machine Learning (Therm al performance prediction of a V-trough solar water heater with a modified twist ed tape using ANFIS, G.L.R., R.T. and SVM models of machine learning)
Department of Mechanical Engineering Reports Findings in Machine Learning (Therm al performance prediction of a V-trough solar water heater with a modified twist ed tape using ANFIS, G.L.R., R.T. and SVM models of machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Andhra Pradesh, India, b y NewsRx journalists, research stated, “Four distinct neural modelswere used to evaluate the efficiency of a V-trough solar water heater (VTSWH) equipped with square-cuttwisted tape (SCTT) and V-cut twisted tape (VCTT) at two different tw ist ratios, 3 and 5. The objectiveof this study was the use of ANFIS (Adaptive Neuro-Fuzzy Inference System), G.L.R. (Generalised linearregression), R.T. (Reg ression tree), and SVM (Support Vector Machine).”
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