Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8851092 | Chemosphere | 2018 | 26 Pages |
Abstract
The second part of this paper focuses on a feasibility study for the application of the Artificial Neural Networks (ANNs) to predict monthly 7Be activity concentrations using meteorological variables, PM10 concentrations and the sunspot number as input parameters. Notwithstanding the low correlations found between 7Be and input parameter, the performance of the ANNs, as evaluated by the relevant statistical parameters, demonstrates their capability to correctly predict 7Be monthly activities in the 10 Spanish sampling sites.
Keywords
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Authors
E. Chham, F. Piñero-GarcÃa, E. Brattich, T. El Bardouni, M.A. Ferro-GarcÃa,