Forecasting Auroral Substorms from Observed Data with a Supervised Learning Algorithm

Auroras are beautiful phenomena and attract many people. However, its physical model still remains a subject of dispute because it is caused by the interaction of diverse areas, such as solar wind, magnetosphere, and ionosphere, and it is difficult to simultaneously obtain data in such wide areas. T...

Celý popis

Podrobná bibliografie

Vydáno v:	2015 IEEE 11th International Conference on e-Science s. 284 - 287
Hlavní autoři:	Tanaka, Takanori, Kitao, Daisuke, Sato, Yuka, Tanaka, Yoshimasa, Ikeda, Daisuke
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.08.2015
Témata:	Accuracy Forecasting Kernel Supervised learning Support vector machines time series data Training data Wind forecasting
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!