Volume 19 No 8 (2021)
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Improved Linear Factor based Grasshopper Optimization Algorithm with Ensemble Learning for Covid-19 Forecasting
P. Renukadevi , Dr.A. Rajiv Kannan
Abstract
Recently the COVID’19 is extensively increasing around the world with many challenges for researchers. Rigorous respiratory disease corona virus 2 show aggression to many parts of COVID’19 affected patients, together with brain and lungs. The changeableness of Corona virus with likely to infect Central Nervous System emphasize the necessity for technological development to identify, handle, and take care of brain damages in COVID’19 patients. An exact short-term predicting the quantity of newly infected and cured cases is vital for resource optimization to stop or reduce the growth of infection.
Keywords
COVID-19, Ensemble Learning (EL), Improved Linear Factor based Grasshopper Optimization Algorithm (ILFGOA) and Min-max Normalization
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