Open AccessSolar Activity Prediction via Artificial Neural Networks applied to X-ray Flux Data
Author(s) -
Guilherme Palermo Coelho,
Victor Da Silva Pedrazzi
Publication year - 2015
Publication title -
anais do congresso de iniciação científica da unicamp
Language(s) - English
Resource type - Conference proceedings
ISSN - 2447-5114
DOI - 10.19146/pibic-2015-37900
Subject(s) - artificial neural network , computer science , flux (metallurgy) , artificial intelligence , materials science , metallurgy
This research intends to evaluate the use of artificial neural networks to forecast the solar x-ray flux time series, in order to predict the occurrence of solar flares. So far, the network is capable of predicting one minute ahead into the time series with good accuracy.
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