Hybrid multilayer perceptron models optimized by evolutionary algorithms for urban air quality forecasting: a case study of Shiraz, Iran.

Salari M, Foong LK, Shahid ES, Moayedi H, Cifci MA

DOI: 10.1038/s41598-026-52228-w
Published: 2026 Jul 13
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-52228-w,
  title = {Hybrid multilayer perceptron models optimized by evolutionary algorithms for urban air quality forecasting: a case study of Shiraz, Iran.},
  author = {Salari M and Foong LK and Shahid ES and Moayedi H and Cifci MA},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-52228-w},
  url = {https://doi.org/10.1038/s41598-026-52228-w}
}

RIS

TY  - JOUR
TI  - Hybrid multilayer perceptron models optimized by evolutionary algorithms for urban air quality forecasting: a case study of Shiraz, Iran.
AU  - Salari M
AU  - Foong LK
AU  - Shahid ES
AU  - Moayedi H
AU  - Cifci MA
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-52228-w
UR  - https://doi.org/10.1038/s41598-026-52228-w
ER  -

APA

M, S., LK, F., ES, S., H, M., & MA, C. (2026). Hybrid multilayer perceptron models optimized by evolutionary algorithms for urban air quality forecasting: a case study of Shiraz, Iran.. Scientific reports. https://doi.org/10.1038/s41598-026-52228-w

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pubmed · retrieved 2026-09-25T17:28:11.189Z