The sunspot cycle is one of the greatest mysteries in the study of Solar Physics. If we could predict the sunspot cycle, we can know about a lot of classified information regarding the Sun, such as how its internal magnetic field is generated and so on. To achieve this, neural network has been put to work.
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The duration of solar spot cycle is 11 or 22 years(Depending upon the source). Here since it is a seasonal(repetitive) hence machine learning techniques using Tensorflow to predict upcoming solar activity.Data is used to train the neural network and we find hyperparameters which give least Mean Absolute Error(MAE)