A deep learning algorithm for modeling and forecasting of COVID-19 in five worst affected states of India

oleh: Junaid Farooq, Mohammad Abid Bazaz

Format: Article
Diterbitkan: Elsevier 2021-02-01

Deskripsi

In this paper, deep learning is employed to propose an Artificial Neural Network (ANN) based online incremental learning technique for developing an adaptive and non-intrusive analytical model of Covid-19 pandemic to analyze the temporal dynamics of the disease spread. The model is able to intelligently adapt to new ground realities in real-time eliminating the need to retrain the model from scratch every time a new data set is received from the continuously evolving training data. The model is validated with the historical data and a forecast of the disease spread for 30-days is given in the five worst affected states of India.