A Hybrid Model based on mBA-ANFIS for COVID-19 Confirmed Cases Prediction and Forecast

In India, the first confirmed case of novel corona virus (COVID-19) was discovered on January 30, 2020. The number cases is increasing day by day, and it crossed 21,53,010 August 9, this paper, a hybrid forecasting model has been proposed to determine for upcoming 10 days based earlier found in India. adaptive neuro-fuzzy inference system (ANFIS) mutation-based Bees Algorithm (mBA). meta-heuristic (BA) modified applying 4 types mutation, (mBA) applied enhance performance ANFIS optimizing its parameters. Proposed mBA-ANFIS assessed using COVID-19 outbreak dataset India USA, next forecasted. compared standard as well other models such GA-ANFIS, DE-ANFIS, HS-ANFIS, TLBO-ANFIS, FF-ANFIS, PSO-ANFIS BA-ANFIS. All these have implemented Matlab 2015 with iterations each. Experimental results show that achieved better terms Root Mean Square Error (RMSE), Absolute Percentage (MAPE), absolute error (MAE) Normalized (NRMSE). It obtained RMSE 1280.24, MAE 685.68, MAPE 6.24 NRMSE 0.000673 Data. Similarly, USA values are 4468.72, 3082.07, 6.1, 0.000952 RMSE, MAE, MAPE, NRMSE, respectively.