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Analysis of the Multi-layer Perceptrons applied to solar flares forecasting
Author(s) -
Thais Veinert Teche,
André Leon Sampaio Gradvohl,
Guilherme Palermo Coelho
Publication year - 2017
Publication title -
anais do congresso de iniciação científica da unicamp
Language(s) - English
Resource type - Conference proceedings
ISSN - 2447-5114
DOI - 10.19146/pibic-2017-77872
Subject(s) - solar flare , perceptron , computer science , layer (electronics) , artificial neural network , artificial intelligence , materials science , physics , astronomy , composite material
Space weather phenomena, like solar flares, can affect some terrestrial activities such as satellite communications, for example. For this reason, mechanisms to predict some of these phenomena are important. In this project we improved a prediction system using the artificial neural network model called Multi-layer Perceptron. The results were a more appropriate neural network configuration and more accurate documentation for the forecasting software.

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