ANALYSIS OF CRONA VIRUS (COVID-19) USING MEMETIC ALGORITHM BASED FEATURE SELECTION AND FEED FORWARD NEURAL NETWORKS FOR CLASSIFIER

Main Article Content

G. Mahalakshmi, P. Santhi

Abstract

Coronavirus disease (COVID -19) is the most pandemic disease in the world. Due to this virus, most of the humans are lost their life. It increases the human mortality rate and minimizes the economic rate of the country. As per the World Health Organization (WHO) report, the first case is reported on 31 December 2019 from Wuhan city in china. After that, the affected rate is rapidly increasing and most of the cases are leads to death.  At present, 215 countries have affected by this pandemic disease. As per WHO, COVID-19 has infected 3,557,235 people so far. So, the analysis and the prediction of COVID-19 is a very important task to give the awareness among the people for reducing the human mortality rate and also the affected rate of the people. This paper gives the analysis of COVID-19 using Memetic algorithm for feature selection and Feed Forward Neural Network Classifier for classification. The constructed model gives the better performance with low error rate.

Article Details

Section
Articles