- author = "Julio J. Valdes and Antonio Pou",
- title = "Central {England} temperatures and solar activity: A Computational Intelligence approach",
- booktitle = "International Joint Conference on Neural Networks (IJCNN 2010)",
- year = "2010",
- address = "Barcelona, Spain",
- month = "18-23 " # jul,
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-1-4244-6917-8",
-
abstract = "Two Computational Intelligence techniques, neural
networks-based Multivariate Time Series Model Mining
(MVTSMM) and Genetic Programming (GP), have been used
to explore the possible relationship between solar
activity and temperatures in Central England for the
1721 to 1967 period. Data driven analysis of
multivariate, heterogeneous and incomplete time series
are used in order to understand the extreme complexity
of the climate machinery and to detect the possible
relative contribution of influencing processes, like
the Sun, whose decadal and centennial role in the
climate is still debated.
Experiments were carried out using each one of these techniques and their combination. Time-lag spectra obtained by means of MVTSMM seems to indicate time stamps of some of the relevant Earth-climate and solar variations on the temperature record. The equations provided by GP approximated analytically the relative contribution of particular solar activity time-lags. These preliminary results, even if they still are insufficient to support or discredit possible physical mechanisms, are interesting and encouraging to explore more in that direction.",
-
DOI = "
doi:10.1109/IJCNN.2010.5596455",
- notes = "WCCI 2010. Also known as \cite{5596455}",
