Application of deep learning techniques in modelling and observation of the solar photosphere
This work is part of the applications of neural networks in the study and modeling of the phenomena presentin the solar photosphere. The proposed research is based on the network model generative adversaries usingPytorch’s artificial intelligence modules. We aim at training a neural network capable...
Main Authors: | Morales Suarez, Germain Nicolas, Agudelo Ortiz, Juan Esteban, Santiago Vargas Dominguez, Shelyag, Sergiy |
---|---|
Format: | Online |
Jezik: | spa |
Izdano: |
Universidad Pedagógica y Tecnológica de Colombia
2022
|
Teme: | |
Online dostop: | https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/15240 |
- Podobne knjige/članki
-
On the motion and physical properties of magnetic bright points in the solar photosphere
od: Berrios Saavedra, Yeimy Gerardine, et al.
Izdano: (2022) -
Closed equations for the design of class f amplifiers
od: Moreno-Rubio, Jorge Julián, et al.
Izdano: (2015) -
GaN-based Power amplifiers for microwave applications
od: Moreno-Rubio, Jorge Julián, et al.
Izdano: (2017) -
Study of Doppler velocities and their relationship with Magnetic field oscillations in the penumbra of Sunspots
od: Ordoñez Araujo, Francisco J., et al.
Izdano: (2022) -
Solar Radiation Prediction on Photovoltaic Systems Using Machine Learning Techniques
od: Ordoñez-Palacios, Luis Eduardo, et al.
Izdano: (2020)