3 papers
astro-ph.SR2020
Predicting solar flares with machine learning: investigating solar cycle dependence
Xiantong Wang, Yang Chen, Gabor Toth +7
A deep learning network, Long-Short Term Memory (LSTM) network, is used in this work to predict whether the maximum flare class an active region (AR) will produce in the next 24 ho…
astro-ph.SR2019
Interpreting LSTM Prediction on Solar Flare Eruption with Time-series Clustering
Hu Sun, Ward Manchester, Zhenbang Jiao +2
We conduct a post hoc analysis of solar flare predictions made by a Long Short Term Memory (LSTM) model employing data in the form of Space-weather HMI Active Region Patches (SHARP…
astro-ph.SR2019
Solar Flare Intensity Prediction with Machine Learning Models
Zhenbang Jiao, Hu Sun, Xiantong Wang +4
We develop a mixed Long Short Term Memory (LSTM) regression model to predict the maximum solar flare intensity within a 24-hour time window 024, 630, 1236 and 24$…