As Simple as Possible, but Not Simpler: When Reservoir Computing Rivals Deep Learning in Hydrological Prediction
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This is data repo for paper: As Simple as Possible, but Not Simpler: When Reservoir Computing Rivals Deep Learning in Hydrological Prediction Presented in: IJCNN SS26 Reservoir Computing for Scalable and Energy-Efficient AI: Theory, Dynamics, and Implementations IEEE Conference Paper: Special Session on Reservoir Computing for Scalable and Energy-Efficient AI: Theory, Dynamics, and Implementations. It was presented at IEEE WCCI 2026 (IEEE World Congress on Computational Intelligence, which hosts IJCNN) in Maastricht, Netherlands. At: Maastricht, Netherlands
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2026-09-25
