Predicting Stellar Mass Accretion: An Optimized Echo State Network Approach in Time Series Modeling

Predicting Stellar Mass Accretion: An Optimized Echo State Network Approach in Time Series Modeling

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Bibliographic Details
Main Authors: Gianfranco Bino, Shantanu Basu, Ramit Dey, Sayantan Auddy, Lyle Muller, Eduard I. Vorobyov
Format: Article
Language:English
Published: Maynooth Academic Publishing 2023-04-01
Series:The Open Journal of Astrophysics
Online Access:https://astro.theoj.org/article/73936-predicting-stellar-mass-accretion-an-optimized-echo-state-network-approach-in-time-series-modeling

Internet

https://astro.theoj.org/article/73936-predicting-stellar-mass-accretion-an-optimized-echo-state-network-approach-in-time-series-modeling

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