Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed
- DOI
- 10.1016/j.advengsoft.2022.103212
- Published
- 2022-11
- Container
- Advances in Engineering Software
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.advengsoft.2022.103212,
title = {Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed},
author = {Sidong Xian and Kaiyuan Chen and Yue Cheng},
year = {2022},
journal = {Advances in Engineering Software},
doi = {10.1016/j.advengsoft.2022.103212},
url = {https://doi.org/10.1016/j.advengsoft.2022.103212}
}RIS
TY - JOUR TI - Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed AU - Sidong Xian AU - Kaiyuan Chen AU - Yue Cheng PY - 2022 JO - Advances in Engineering Software DO - 10.1016/j.advengsoft.2022.103212 UR - https://doi.org/10.1016/j.advengsoft.2022.103212 ER -
APA
Xian, S., Chen, K., & Cheng, Y. (2022). Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed. Advances in Engineering Software. https://doi.org/10.1016/j.advengsoft.2022.103212
Source records
- crossref · retrieved 2026-09-26T04:29:34.413Z