Predicting sunspot number from topological features in spectral images I: Machine learning approach
This study presents an advanced machine learning approach to predict the number of sunspots using a comprehensive dataset derived from solar images provided by the Solar and Heliospheric Observatory (SOHO). The dataset encompasses various spectral bands, capturing the complex dynamics of solar activ...
- Autores:
-
Sierra Porta, David
Tarazona Alvarado, Miguel
Herrera Acevedo, Daniel
- Tipo de recurso:
- Fecha de publicación:
- 2024
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12701
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12701
- Palabra clave:
- Machine learning
Sunspots prediction
Spectral images
Sun’s dynamics
Fractal features
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/publicdomain/zero/1.0/