期刊
NEUROCOMPUTING
卷 113, 期 -, 页码 262-268出版社
ELSEVIER
DOI: 10.1016/j.neucom.2012.12.045
关键词
Paleoclimatology; Neural networks; Climate reconstruction
资金
- European Science Foundation through a Medclivar Exchange [2902]
- Fundacion Iberdrola through a research Fellowship of the program
- Spanish Ministry of Science and Innovation [ECO2010-22065-C03-02]
- EU/FP6 project CIRCE [036961]
- EU/FP7 project ACQWA [212250]
- Deutsche Forschungsgemeinschaft
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.
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