Pronóstico del COVID-19 en Colombia utilizando redes neuronales recurrentes con celdas de gran memoria de corto plazo y unidades recurrentes cerradas

Abstract

On march 6 of 2020, the first case of COVID-19 was reported in Colombia. This virus, declared a public health emergency of international importance, has affected different sectors. There is a boom in the number of studies that make forecasts in various aspects that have to do with this virus. The present work shows the theoretical aspects of recurrent neuronal networks and his use to create a 60-day forecast on cumulative cases, cumulative deaths and cumulative recovered, available from march 6 2020 to march 6 2022. Neural networks with GRU and LSTM cells along with the classic RNN were used to make these forecasts.