Abstract: Do internals of neural networks make sense in the context of hydrology? (AGU Fall Meeting 2018)

Do internals of neural networks make sense in the context of hydrology?

Frederik Kratzert¹, Mathew Herrnegger², Daniel Klotz³, Sepp Hochreiter¹ and Günter Klambauer¹, (1)Johannes Kepler University, Institute for Machine Learning, Linz, Austria, (2)BOKU University of Natural Resources and Life Sciences, Institute for Hydrology and Water Management, Vienna, Austria, (3)BOKU University of Natural Resources and Life Sciences, Institute of Water Management, Hydrology and Hydraulic Engineering, Vienna, Austria

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