COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain

Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, Antonio Manuel Gómez-Orellana, Isaac Túñez, Luis Ortigosa-Moreno, Armando Romanos-Rodríguez, Javier Padillo-Ruiz, César Hervás-Martínez. COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain. Expert Syst. Appl., 207:117977, 2022. [doi]

@article{Diaz-LozanoGGGT22,
  title = {COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain},
  author = {Miguel Díaz-Lozano and David Guijo-Rubio and Pedro Antonio Gutiérrez and Antonio Manuel Gómez-Orellana and Isaac Túñez and Luis Ortigosa-Moreno and Armando Romanos-Rodríguez and Javier Padillo-Ruiz and César Hervás-Martínez},
  year = {2022},
  doi = {10.1016/j.eswa.2022.117977},
  url = {https://doi.org/10.1016/j.eswa.2022.117977},
  researchr = {https://researchr.org/publication/Diaz-LozanoGGGT22},
  cites = {0},
  citedby = {0},
  journal = {Expert Syst. Appl.},
  volume = {207},
  pages = {117977},
}