On the estimation of stellar parameters with uncertainty prediction from Generative Artificial Neural Networks: application to Gaia RVS simulated spectra.
Carlos DafonteDiego FustesMinia ManteigaDaniel GarabatoMarco Antonio ÁlvarezAna UllaC. Allende PrietoPublished in: CoRR (2016)
Keyphrases
- artificial neural networks
- parameter estimation
- neural network
- data driven
- maximum likelihood
- parameter settings
- parameter values
- maximum likelihood estimation
- generative model
- parameter optimization
- root mean square error
- closed form solutions
- using artificial neural networks
- multi layer perceptron
- prediction model
- uncertain data
- simulation model
- genetic algorithm ga