TY - JOUR AU - Elgamal, Mahmoud PY - 2020/03/15 Y2 - 2024/03/28 TI - Sunspot Time Series Forecasting using Deep Learning JF - International Journal of Computer and Information Technology(2279-0764) JA - IJCIT VL - 9 IS - 2 SE - Articles DO - 10.24203/ijcit.v9i2.8 UR - https://ijcit.com/index.php/ijcit/article/view/8 SP - AB - <p>In order to forecast solar cycle 25, sunspot numbers(SSN) from 1700 ∼ 2018 was used as a time series to predict the next eleven years. deep long short-term memory(LSTM) was exploited to do the forecast, first the dataset was split into training set(80%) and (20%) for the test set, the achieved accuracy led us to forecast the next eleven years. The result shows that the cycle will be from 2019 ∼ 2029 with peak at 2024.</p> ER -