Four-layer spherical self-organized maps neural networks trained by recirculation to follow the phase evolution of a nearly four-year rainfall signal.
This work is intended to organize a big set of time series of rainfall reanalysis built on the Fourier harmonic that corresponds to the 4.8year cycle of variability. To do that a self-organized map is implemented in four spherical layers trained by recirculation. The methodology is shortly described...
Guardado en:
| Autor principal: | Huggenberger, Dario Alberto |
|---|---|
| Formato: | Artículo publishedVersion |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12272/3690 |
| Aporte de: |
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