Visualization of Neural Network Predictions for Weather Forecasting

Recurrent neural networks are prime candidates for learning evolutions in multi‐dimensional time series data. The performance of such a network is judged by the loss function, which is aggregated into a scalar value that decreases during training. Observing only this number hides the variation that...

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Vydáno v:	Computer graphics forum Ročník 38; číslo 1; s. 209 - 220
Hlavní autoři:	Roesch, Isabelle, Günther, Tobias
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Blackwell Publishing Ltd 01.02.2019
Témata:	Artificial neural networks Computer graphics I.3.3 [Computer Graphics]: Picture/Image Generation‐Viewing algorithms Interactive systems Mathematical models Neural networks Parameters Recurrent neural networks scientific visualization Time series Training visualization Weather forecasting Wind speed
ISSN:	0167-7055, 1467-8659
On-line přístup:	Získat plný text
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