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‎about/index.html‎

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"name" : "About",
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"description" : "About NeuralHydrology Everything started with the idea of using LSTMs as a general rainfall-runoff model, back in 2016. Daniel and myself (Frederik) were self-studying machine learning and trying to keep up with the fast-paced developments of that field. At that time, both of us were still working at the Institute for Hydrology and Watermangement (former Institute of Water Management, Hydrology and Hydraulic Engineering), Daniel as PhD-student and I as a student assistant.",
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"description" : "\u003ch4 id=\u0022about-neuralhydrology\u0022\u003e\u003cstrong\u003eAbout NeuralHydrology\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cp\u003eEverything started with the idea of using LSTMs as a general rainfall-runoff model, back in 2016. Daniel and myself (Frederik) were self-studying machine learning and trying to keep up with the fast-paced developments of that field. At that time, both of us were still working at the \u003ca href=\u0022https:\/\/boku.ac.at\/wau\/hywa\u0022\u003eInstitute for Hydrology and Watermangement\u003c\/a\u003e (former Institute of Water Management, Hydrology and Hydraulic Engineering), Daniel as PhD-student and I as a student assistant. A lot of our free-time went into designing and conducting first experiments, to see if the LSTM is able to model the rainfall-runoff relationship at all. By then, we jokingly referred to this idea as \u003cem\u003eneural hydrology\u003c\/em\u003e, not knowing that \u003ca href=\u0022https:\/\/rgs-ibg.onlinelibrary.wiley.com\/doi\/10.1111\/j.1475-4762.1999.tb00179.x\u0022\u003eBob Abrahart (1999)\u003c\/a\u003e coined a similar term (\u003cem\u003eNeuroHydrology\u003c\/em\u003e) already 20 years ago. In his paper, Bob Abrahart advocates the use of neural networks in hydrology, while still referring to classical multi layer perceptrons and not recurrent neural networks.\u003c\/p\u003e",
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‎categories/book-chapter/index.html‎

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‎categories/book-chapter/index.xml‎

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