bachelor's graduation work "Development of a technique for predicting solar proton fluxes using artificial neural networks"
Predicting the proton fluxes of solar cosmic rays in a wide range of energies is an actual problem since these flows have a significant effect on the radiation conditions in outer space. Therefore, the creation of an automatic system capable of predicting the dynamics of solar proton events is necessary for global on-line forecasting of space weather.
More information can be obtained from the project Wiki.
started in May 2017
presented in May 2018
Author: Svetlana Shishkova