Search Results for author: Hu Sun

Found 4 papers, 4 papers with code

Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data

1 code implementation7 Apr 2022 Zeyu Sun, Monica G. Bobra, Xiantong Wang, Yu Wang, Hu Sun, Tamas Gombosi, Yang Chen, Alfred Hero

We consider the flare prediction problem that distinguishes flare-imminent active regions that produce an M- or X-class flare in the future 24 hours, from quiet active regions that do not produce any flare within $\pm 24$ hours.

Attribute

Interpreting LSTM Prediction on Solar Flare Eruption with Time-series Clustering

1 code implementation27 Dec 2019 Hu Sun, Ward Manchester, Zhenbang Jiao, Xiantong Wang, Yang Chen

The dynamics of these parameters have a highly uniform trajectory for many events whose LSTM prediction scores for M/X class flares transition from very low to very high.

Binary Classification Clustering +3

Solar Flare Intensity Prediction with Machine Learning Models

1 code implementation12 Dec 2019 Zhenbang Jiao, Hu Sun, Xiantong Wang, Ward Manchester, Tamas Gombosi, Alfred Hero, Yang Chen

We develop a mixed Long Short Term Memory (LSTM) regression model to predict the maximum solar flare intensity within a 24-hour time window 0$\sim$24, 6$\sim$30, 12$\sim$36 and 24$\sim$48 hours ahead of time using 6, 12, 24 and 48 hours of data (predictors) for each Helioseismic and Magnetic Imager (HMI) Active Region Patch (HARP).

Solar and Stellar Astrophysics

Predicting solar flares with machine learning: investigating solar cycle dependence

1 code implementation1 Dec 2019 Xiantong Wang, Yang Chen, Gabor Toth, Ward B. Manchester, Tamas I. Gombosi, Alfred O. Hero, Zhenbang Jiao, Hu Sun, Meng Jin, Yang Liu

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 hours is class $\Gamma$.

Solar and Stellar Astrophysics

Cannot find the paper you are looking for? You can Submit a new open access paper.