In this paper we present the general methodology and main issues related to the application of neural networks to paleoclimatic reconstruction problems. We establish the basic methodological framework, data selection, organization and their relation to neural networks features. We also describe a skill score to compare regressors' performance and finally the paleoclimatic variable's reconstruction. We show a case study focused on winter precipitation reconstruction in the Mediterranean back to 1700, using multi-layer perceptrons, and the comparison of the obtained results to that of the existing alternative methodologies. (C) 2013 Elsevier B.V. All rights reserved.
机构:
Univ Paul Cezanne, CEREGE, CNRS, UMR 6635, F-13545 Aix En Provence, FranceUniv Paul Cezanne, CEREGE, CNRS, UMR 6635, F-13545 Aix En Provence, France
Brewer, S.
;
Alleaume, S.
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机构:
Univ Paul Cezanne, CEREGE, CNRS, UMR 6635, F-13545 Aix En Provence, FranceUniv Paul Cezanne, CEREGE, CNRS, UMR 6635, F-13545 Aix En Provence, France
Alleaume, S.
;
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h-index:
机构:
Guiot, J.
;
Nicault, A.
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Univ Laval, Ctr Etud Nord, Ste Foy, PQ G1K 7P4, CanadaUniv Paul Cezanne, CEREGE, CNRS, UMR 6635, F-13545 Aix En Provence, France
机构:
Univ Paul Cezanne, CEREGE, CNRS, UMR 6635, F-13545 Aix En Provence, FranceUniv Paul Cezanne, CEREGE, CNRS, UMR 6635, F-13545 Aix En Provence, France
Brewer, S.
;
Alleaume, S.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Paul Cezanne, CEREGE, CNRS, UMR 6635, F-13545 Aix En Provence, FranceUniv Paul Cezanne, CEREGE, CNRS, UMR 6635, F-13545 Aix En Provence, France
Alleaume, S.
;
论文数: 引用数:
h-index:
机构:
Guiot, J.
;
Nicault, A.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Laval, Ctr Etud Nord, Ste Foy, PQ G1K 7P4, CanadaUniv Paul Cezanne, CEREGE, CNRS, UMR 6635, F-13545 Aix En Provence, France