Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries.
- DOI
- 10.1016/j.chaos.2020.110086
- Published
- 2020 Oct
- Container
- Chaos, solitons, and fractals
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.chaos.2020.110086,
title = {Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries.},
author = {Singh S and Parmar KS and Makkhan SJS and Kaur J and Peshoria S and Kumar J},
year = {2020},
journal = {Chaos, solitons, and fractals},
doi = {10.1016/j.chaos.2020.110086},
url = {https://doi.org/10.1016/j.chaos.2020.110086}
}RIS
TY - JOUR TI - Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries. AU - Singh S AU - Parmar KS AU - Makkhan SJS AU - Kaur J AU - Peshoria S AU - Kumar J PY - 2020 JO - Chaos, solitons, and fractals DO - 10.1016/j.chaos.2020.110086 UR - https://doi.org/10.1016/j.chaos.2020.110086 ER -
APA
S, S., KS, P., SJS, M., J, K., S, P., & J, K. (2020). Study of ARIMA and least square support vector machine (LS-SVM) models for the prediction of SARS-CoV-2 confirmed cases in the most affected countries.. Chaos, solitons, and fractals. https://doi.org/10.1016/j.chaos.2020.110086
Source records
- pubmed · retrieved 2026-09-26T16:27:36.706Z