Forecasting the transportation energy demand with the help of optimization artificial neural network using an improved red fox optimizer (IRFO).

Liu Y, Yan G, Settanni A

Open source

DOI
10.1016/j.heliyon.2023.e21599
Published
2023 Nov
Container
Heliyon
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.heliyon.2023.e21599,
  title = {Forecasting the transportation energy demand with the help of optimization artificial neural network using an improved red fox optimizer (IRFO).},
  author = {Liu Y and Yan G and Settanni A},
  year = {2023},
  journal = {Heliyon},
  doi = {10.1016/j.heliyon.2023.e21599},
  url = {https://doi.org/10.1016/j.heliyon.2023.e21599}
}

RIS

TY  - JOUR
TI  - Forecasting the transportation energy demand with the help of optimization artificial neural network using an improved red fox optimizer (IRFO).
AU  - Liu Y
AU  - Yan G
AU  - Settanni A
PY  - 2023
JO  - Heliyon
DO  - 10.1016/j.heliyon.2023.e21599
UR  - https://doi.org/10.1016/j.heliyon.2023.e21599
ER  - 

APA

Y, L., G, Y., & A, S. (2023). Forecasting the transportation energy demand with the help of optimization artificial neural network using an improved red fox optimizer (IRFO).. Heliyon. https://doi.org/10.1016/j.heliyon.2023.e21599

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