Title On the use of evolutionary time series analysis for segmenting paleoclimate data
Authors Perez-Ortiz, M. , DURAN ROSAL, ANTONIO MANUEL, Gutierrez, P. A. , SÁNCHEZ MONEDERO, JAVIER, Nikolaou, A. , FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS, Hervas-Martinez, C.
External publication No
Means Neurocomputing
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 1
JCR Impact 4.07200
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030174993&doi=10.1016%2fj.neucom.2016.11.101&partnerID=40&md5=d7cd724247e365c63916d6e7e90d73a1
Publication date 31/01/2018
ISI 000452306700002
Scopus Id 2-s2.0-85030174993
DOI 10.1016/j.neucom.2016.11.101
Abstract Recent studies propose that different dynamical systems, such as climate, ecological and financial systems, among others, present critical transition points named to as tipping points (TPs). Climate TPs can severely affect millions of lives on Earth so th
Keywords Time series segmentation; Genetic algorithms; Clustering; Paleoclimate data; Tipping points; Abrupt climate change
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