D s t Index Forecast Based on Ground‐Level Data Aided by Bio‐Inspired Algorithms-Reference-Cited by-同舟云学术

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D s t Index Forecast Based on Ground‐Level Data Aided by Bio‐Inspired Algorithms

Published:2019-10 Issue:10 Volume:17 Page:1487-1506
ISSN:1542-7390
Container-title:Space Weather
language:en
Short-container-title:Space Weather

Author:

Lazzús J. A.¹²^ORCID,Vega‐Jorquera P.¹,Palma‐Chilla L.¹,Stepanova M. V.³^ORCID,Romanova N. V.³^ORCID

Affiliation:

1. Departamento de FísicaUniversidad de La Serena, Casilla 554 La Serena Chile

2. Instituto de Investigación Multidisciplinario en Ciencias y TecnologíaUniversidad de La Serena, Casilla 554 La Serena Chile

3. Departamento de FísicaUniversidad de Santiago de Chile, Casilla 307 Santiago Chile

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019SW002215

Reference102 articles.

1. The development of the main phase of magnetic storms

2. Magnetic storms and magnetotail currents

3. Neural networks using Bayesian training;Andrejková G.;Kybernetika,2003

4. Relevance vector machines as a tool for forecasting geomagnetic storms during years 1996–2007

5. Modeling the contributions of ring, tail, and magnetopause currents to the correctedDstindex

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