TY - GEN
T1 - Sunspot behavior forecast using neural networks approaches
AU - Premebida, Sthefanie
AU - Pechebovicz, Denise
AU - Camargo, Thiago
AU - Nazario, Henrique
AU - Soa, Vinicios
AU - Baroncini, Virginia
AU - De Morais, Erikson
AU - Siqueira, Hugo
AU - Oliva, Diego
AU - Martins, Marcella
PY - 2020/2
Y1 - 2020/2
N2 - The study of solar activity is of great interest for the recognition of its influence on the earth. A great step in astronomy is the prediction of solar activity, allowing better preparation for study and recognition of future solar and terrestrial events. In our research we used Neural Networks models to predict sunspot numbers based on solar activity recorded between 1818 and 2019. Solar activity data were taken from the Solar Influences Data analysis Center (SIDC) website and Sunspot Index and Long-term Solar Observations (SILSO). Results show a high potential of this processing that become a competitive approach for the sunspots prediction.
AB - The study of solar activity is of great interest for the recognition of its influence on the earth. A great step in astronomy is the prediction of solar activity, allowing better preparation for study and recognition of future solar and terrestrial events. In our research we used Neural Networks models to predict sunspot numbers based on solar activity recorded between 1818 and 2019. Solar activity data were taken from the Solar Influences Data analysis Center (SIDC) website and Sunspot Index and Long-term Solar Observations (SILSO). Results show a high potential of this processing that become a competitive approach for the sunspots prediction.
UR - http://www.scopus.com/inward/record.url?scp=85084150671&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85084150671&partnerID=8YFLogxK
U2 - 10.1109/ICIT45562.2020.9067206
DO - 10.1109/ICIT45562.2020.9067206
M3 - Conference contribution
AN - SCOPUS:85084150671
T3 - Proceedings of the IEEE International Conference on Industrial Technology
SP - 696
EP - 700
BT - Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Conference on Industrial Technology, ICIT 2020
Y2 - 26 February 2020 through 28 February 2020
ER -