Speaker
Isidro Gómez Vargas
(Instituto de Ciencias Físicas, Universidad Nacional Autónoma de México)
Description
Artificial neural networks can model nonlinear relationships in datasets. In observational cosmology there are many situations involving complex datasets, therefore in this talk we present some applications of neural networks in the framework of cosmological data analysis. We use observational data and numerical simulations; the tasks we have tackled with neural networks have been classification, reconstructions of cosmological functions, prediction and acceleration of numerical methods.
Primary author
Isidro Gómez Vargas
(Instituto de Ciencias Físicas, Universidad Nacional Autónoma de México)
