GA-optimized neural network for forecasting the geomagnetic storm index
A method that combines an artificial neural network and a genetic algorithm (ANN+GA) was developed in order to forecast the disturbance storm time (Dst) index. This technique involves optimizing the ANN by GA to update the ANN weights and to forecast the short-term Dst index from 1 to 6 hours in adv...
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| Udgivet i: | Geofísica Internacional |
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| Principais autores: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Universidad Nacional Autónoma de México
2018
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| Fag: | |
| Online adgang: | https://www.redalyc.org/articulo.oa?id=56871787002 https://www.redalyc.org/journal/568/56871787002/ https://www.redalyc.org/journal/568/56871787002/html/ https://www.redalyc.org/journal/568/56871787002/56871787002.epub https://www.redalyc.org/journal/568/56871787002/movil |
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