Forecasting auroral electrojet activity from solar wind input with neural networks

Geophysical Research Letters

Volumn 26, Issue 10, 1999, Pages 1353-1356

  Weigel, R S ^a   Horton, W ^a   Tajima, T ^a   Detman, T ^b  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IONOSPHERE; MAGNETIC LEVITATION VEHICLES; MAGNETOSPHERE; TESTING; WIND; DATABASE SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAGNETIC FIELDS; NEURAL NETWORKS; SOLAR RADIATION; STATE SPACE METHODS;

AURORAL ELECTROJETS; BOOTSTRAP MODEL; CHAOTIC ATTRACTORS; INTERPLANETARY MAGNETIC FIELDS; IONOSPHERIC ELECTROJET; PREDICTIVE ABILITIES; SOLAR WIND SPEED; SUBSTORMS;

SOLAR WIND; GEOPHYSICS;

BOOTSTRAP MODEL TESTING METHOD; INTERPLANETARY MAGNETIC FIELDS (IMF); IONOSPHERIC ELECTROJET INDEX; MAGNETOSPHERE-IONOSPHERE (MI) SYSTEMS; SOLAR WIND;

ATMOSPHERIC ELECTRICITY; ELECTROJET;

EID: 0033562211     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/1999GL900280     Document Type: Article

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