Cargando…
Investigating the effect of vaccinated population on the COVID-19 prediction using FA and ABC-based feed-forward neural networks
Since 2019, the coronavirus outbreak has caused many catastrophic events all over the world. At the current time, the massive vaccination has been considered as the most efficient way to fight against the pandemic. This study schemes to explain and model COVID-19 cases by considering the vaccination...
Autores principales: | Noroozi-Ghaleini, Ebrahim, Shaibani, Mohammad Javad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958458/ https://www.ncbi.nlm.nih.gov/pubmed/36852029 http://dx.doi.org/10.1016/j.heliyon.2023.e13672 |
Ejemplares similares
-
Investigation of robustness of hybrid artificial neural network with artificial bee colony and firefly algorithm in predicting COVID-19 new cases: case study of Iran
por: Shaibani, Mohammad Javad, et al.
Publicado: (2021) -
Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials
por: Asteris, Panagiotis G., et al.
Publicado: (2017) -
Feed-Forward
Neural Network for Predicting Enantioselectivity
of the Asymmetric Negishi Reaction
por: Cuomo, Abbigayle E., et al.
Publicado: (2023) -
Pion-kaon separation with a feed-forward neural network
por: De Groot, N, et al.
Publicado: (1992) -
Design of a prediction system based on the dynamical feed-forward neural network
por: Guo, Xiaoxiang, et al.
Publicado: (2022)