Comparison of efficiency of artificial neural networks for forecasting the geomagnetic activity index dst

Radiophysics and Quantum Electronics

Volumn 43, Issue 5, 2000, Pages 347-355

  Barkhatov, N A ^a   Bellustin, N S ^a   Levitin, A E ^a   Sakharov, S Yu ^a  

^a Nizhny Novgorod   (Russian Federation)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; EFFICIENCY; GEOMAGNETISM; MAGNETIC FIELDS; MAGNETOPLASMA; MAGNETOSPHERE; NEURAL NETWORKS; SOLAR WIND; STORMS; TIME DELAY;

ACTIVATION FUNCTIONS; EARTH MAGNETIC FIELDS; ELMAN NEURAL NETWORK; ERROR BACK-PROPAGATION; FORECASTING EFFICIENCIES; GEOMAGNETIC ACTIVITIES; HIDDEN LAYER NEURONS; SOLAR WIND PARAMETERS;

FORECASTING;

EID: 20444367795     PISSN: 00338443     EISSN: 15739120     Source Type: Journal    
DOI: 10.1007/BF02677150     Document Type: Article

References (9)

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9. P.K. Simpson, A Review of Artificial Neural Systems. II. Paradigm Application and Implementation, San Diego.