N-BEATS: Neural basis expansion analysis for interpretable time series forecastingEI

    Boris N. Oreshkin
    Boris N. Oreshkin
    Dmitri Carpov
    Dmitri Carpov
    Cited by: 0|Bibtex|146|

    arXiv: Learning, 2019.

    Keywords:
    time series forecasting deep learning

    Abstract:

    We focus on solving the univariate times series point forecasting problem using deep learning. We propose a deep neural architecture based on backward and forward residual links and a very deep stack of fully-connected layers. The architecture has a number of desirable properties, being interpretable, applicable without modification to a ...More
    Your rating :
    0

     

    Tags
    Comments