Forecasting SARS-CoV-2 Next Wave in Iran and the World Using
Version 1.0.0 (1.13 MB) by
S. Muhammad Hossein Mousavi
Forecasting SARS-CoV-2 Next Wave in Iran and the World Using TSK Fuzzy NN Code
%% Some Explanations
% These lines of codes predict and forecasts up to 6 months (180 days) for COVID % deaths, confirmed and Recovered Cases from Jan 2020 till Dec 2021 out of John Hopkins % university dataset for Iran. Prediction is by ANFIS (FCM) and Forecasting is by nonlinear % ARX model. Just run the code. You can add your dataset and play with parameters. % % This code is main part of the following research. % If you used the code please cite below: % % Mousavi, Seyed Muhammad Hossein, and S. Muhammad Hassan Mosavi. "Forecasting % SARS-CoV-2 Next Wave in Iran and the World Using TSK Fuzzy Neural Networks, % Third National Conference on Safety and Health, Tehran, Iran (2021). % % Any question, contact: % mosavi.a.i.buali@gmail.com
Cite As
S. Muhammad Hossein Mousavi (2024). Forecasting SARS-CoV-2 Next Wave in Iran and the World Using (https://www.mathworks.com/matlabcentral/fileexchange/103875-forecasting-sars-cov-2-next-wave-in-iran-and-the-world-using), MATLAB Central File Exchange. Retrieved .
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Version | Published | Release Notes | |
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1.0.0 |