Idioma:

Multi-step prediction of Dst index using singular spectrum analysis and locally linear neurofuzzy modeling

SHARIFI, Javad ; ARAABI, Babak N ; LUCAS, Caro

Earth, planets, and space, 2006-01, Vol.58 (3), p.331-341 [Periódico revisado por pares]

Texto completo disponível

Citações Citado por

Título:
Multi-step prediction of Dst index using singular spectrum analysis and locally linear neurofuzzy modeling
Autor: SHARIFI, Javad ; ARAABI, Babak N ; LUCAS, Caro
Assuntos: Cosmochemistry. Extraterrestrial geology ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology
É parte de: Earth, planets, and space, 2006-01, Vol.58 (3), p.331-341
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
Descrição: Abstract Even one-step prediction of natural time series without delay especially in main phase of storm is difficult for many complicated time series such as Dst index. In this study, with a new method based on singular spectrum analysis, we extract the main components of the time series, model each component with a locally linear neurofuzzy network, and utilize the trained networks for multi-step ahead prediction of a validation set of data, and finally combine the predicted patterns for construction of general prediction. Our methods are compared with several previous studies for Dst index prediction. Several solar geomagnetic extreme events are predicted well with our state-of-the-art method; such as extreme events in 14 March 1989 that led to power black-out in Quebec, as well as other extreme storms.
Editor: Tokyo: Terra
Idioma: Inglês

Links

Voltar para lista de resultados

Anterior Resultado 8 Avançar Ir para próxima página