Predicting stellar mass accretion: an optimized echo state network approach in time series modeling

HIGHLIGHTS

• who: Version April et al. from the Department of Applied Mathematics, University of Western Ontario, London, ON, N A , Canada have published the paper: PREDICTING STELLAR MASS ACCRETION: AN OPTIMIZED ECHO STATE NETWORK APPROACH IN TIME SERIES MODELING, in the Preprint: Arxiv of 13/04/2023
• what: The authors focus on modeling luminosity variations in the evolution of young stellar objects (YSOs). The aim of this paper is to demonstrate that NN-based models can be used to forecast the evolution of transient phenomena in real-time. The model is trained on time-series data . . .
  

   

  

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