As Simple as Possible, but Not Simpler: When Reservoir Computing Rivals Deep Learning in Hydrological Prediction

Hosseini, Farzad, Del ser, Javier

Open source

DOI
10.5281/zenodo.19310482
Published
2026
Container
Not recorded
Publisher
Zenodo
Open access
yes

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BibTeX

@article{allodium:10.5281/zenodo.19310482,
  title = {As Simple as Possible, but Not Simpler: When Reservoir Computing Rivals Deep Learning in Hydrological Prediction},
  author = {Hosseini, Farzad and Del ser, Javier},
  year = {2026},
  doi = {10.5281/zenodo.19310482},
  url = {https://doi.org/10.5281/zenodo.19310482}
}

RIS

TY  - JOUR
TI  - As Simple as Possible, but Not Simpler: When Reservoir Computing Rivals Deep Learning in Hydrological Prediction
AU  - Hosseini, Farzad
AU  - Del ser, Javier
PY  - 2026
DO  - 10.5281/zenodo.19310482
UR  - https://doi.org/10.5281/zenodo.19310482
ER  - 

APA

Farzad, H., & Javier, D. S. (2026). As Simple as Possible, but Not Simpler: When Reservoir Computing Rivals Deep Learning in Hydrological Prediction. https://doi.org/10.5281/zenodo.19310482

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