@article{Elgamal_2020, title={Sunspot Time Series Forecasting using Deep Learning}, volume={9}, url={https://ijcit.com/index.php/ijcit/article/view/8}, DOI={10.24203/ijcit.v9i2.8}, abstractNote={<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>}, number={2}, journal={International Journal of Computer and Information Technology(2279-0764)}, author={Elgamal, Mahmoud}, year={2020}, month={Mar.} }