Atıf Formatları
Exploring the applicability of the experiment-based ANN and LSTM models for streamflow estimation
  • IEEE
  • ACM
  • APA
  • Chicago
  • MLA
  • Harvard
  • BibTeX

M. E. AKINER Et Al. , "Exploring the applicability of the experiment-based ANN and LSTM models for streamflow estimation," Earth Science Informatics , vol.17, no.4, pp.3111-3135, 2024

AKINER, M. E. Et Al. 2024. Exploring the applicability of the experiment-based ANN and LSTM models for streamflow estimation. Earth Science Informatics , vol.17, no.4 , 3111-3135.

AKINER, M. E., Kartal, V., GÜZELER, A. C., & Karakoyun, E., (2024). Exploring the applicability of the experiment-based ANN and LSTM models for streamflow estimation. Earth Science Informatics , vol.17, no.4, 3111-3135.

AKINER, MUHAMMED Et Al. "Exploring the applicability of the experiment-based ANN and LSTM models for streamflow estimation," Earth Science Informatics , vol.17, no.4, 3111-3135, 2024

AKINER, MUHAMMED E. Et Al. "Exploring the applicability of the experiment-based ANN and LSTM models for streamflow estimation." Earth Science Informatics , vol.17, no.4, pp.3111-3135, 2024

AKINER, M. E. Et Al. (2024) . "Exploring the applicability of the experiment-based ANN and LSTM models for streamflow estimation." Earth Science Informatics , vol.17, no.4, pp.3111-3135.

@article{article, author={MUHAMMED ERNUR AKINER Et Al. }, title={Exploring the applicability of the experiment-based ANN and LSTM models for streamflow estimation}, journal={Earth Science Informatics}, year=2024, pages={3111-3135} }