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Sunspot Number Prediction/Forecast​ing via a Hybrid Regression-Neural Network Based Model

version 1.0 (4.5 KB) by

The program predicts/forecasts smoothed sunspot numbers for dates specified by user



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The program is used to predict/forecast sunspot numbers based on dates input by user. The main program to run is named Main_Program.m. Users should input the dates for their desired SSN predictions in line 2 of the program. The dates are expressed as years (or as year fractions). For example, if a user desires the SSN for 11th January 2019, then the date is entered as 2019+11/365.
Users can also enter a range of dates by using the MATLAB colon operator (:). For example, to request the SSN for all days from years 2018 to middle of 2019, the user should input 2018:1/365:2019.5.
The model is based on a Hybrid Regression-Neural Network (HR-NN) Method for forecasting SSN (detailed in an article in preparation)
SSN Outputs/Predictions are written to a file named Output_SSN_Predictions.txt created within the same folder where the program is ran from.
For this version of the program, reliable prediction is recommended between years 1824 and 2020.

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SSN Predictions/