Central England temperatures and solar activity: A Computational Intelligence approach

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  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}",

Genetic Programming entries for Julio J Valdes Antonio Pou