Listar por autor "Allende-Prieto, Carlos"

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On the estimation of stellar parameters with uncertainty prediction from Generative Artificial Neural Networks: application to Gaia RVS simulated spectra

Dafonte, Carlos; Fustes, D.; Manteiga, Minia; Garabato, D.; Álvarez, M. A.; Ulla, Ana; Allende-Prieto, Carlos (EDP Sciences, 2016-10)

[Abstract]: Aims. We present an innovative artificial neural network (ANN) architecture, called Generative ANN (GANN), that computes the forward model, that is it learns the function that relates the unknown outputs (stellar ...