Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks.

Riccardi A, Gemignani J, Fernandez-Navarro F, Heffernan A

Open source

DOI
10.1109/tetci.2020.3046012
Published
2021 Feb
Container
IEEE transactions on emerging topics in computational intelligence
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1109/tetci.2020.3046012,
  title = {Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks.},
  author = {Riccardi A and Gemignani J and Fernandez-Navarro F and Heffernan A},
  year = {2021},
  journal = {IEEE transactions on emerging topics in computational intelligence},
  doi = {10.1109/tetci.2020.3046012},
  url = {https://doi.org/10.1109/tetci.2020.3046012}
}

RIS

TY  - JOUR
TI  - Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks.
AU  - Riccardi A
AU  - Gemignani J
AU  - Fernandez-Navarro F
AU  - Heffernan A
PY  - 2021
JO  - IEEE transactions on emerging topics in computational intelligence
DO  - 10.1109/tetci.2020.3046012
UR  - https://doi.org/10.1109/tetci.2020.3046012
ER  - 

APA

A, R., J, G., F, F., & A, H. (2021). Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks.. IEEE transactions on emerging topics in computational intelligence. https://doi.org/10.1109/tetci.2020.3046012

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