Forecasting SARS-CoV-2 Next Wave in Iran and the World Using

Version 1.0.0 (1,13 Mo) par S. Muhammad Hossein Mousavi
Forecasting SARS-CoV-2 Next Wave in Iran and the World Using TSK Fuzzy NN Code
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Mise à jour 21 déc. 2021

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%% 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

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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. Récupéré le .

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Version Publié le Notes de version
1.0.0