Near-Earth space plasma modelling and forecasting

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Hal Strangeways and Ivan Kutiev and 
                 Ljiljana Cander and Stamatis Kouris and Vadim Gherm and Diego Marin and 
                 Benito {De La Morena} and S. Eleri Pryse and 
                 Loredana Perrone and Marco Pietrella and Stanimir Stankov and 
                 Lukasz Tomasik and Ersin Tulunay and 
                 Yurdanur Tulunay and Nikolay Zernov and Bruno Zolesi",
  title =        "Near-Earth space plasma modelling and forecasting",
  journal =      "Annals of Geophysics",
  volume =       "52",
  number =       "3-4",
  year =         "2010",
  pages =        "255--271",
  month =        jun # "/" # aug,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "2037-416X",
  URL =          "",
  DOI =          "doi:10.4401/ag-4579",
  size =         "17 pages",
  abstract =     "In the frame of the European COST 296 project
                 (Mitigation of Ionospheric Effects on Radio Systems,
                 MIERS) in the Working Package 1.3, new ionospheric
                 models, prediction and forecasting methods and programs
                 as well as ionospheric imaging techniques have been
                 developed. They include (i) topside ionosphere and
                 meso-scale irregularity models, (ii) improved
                 forecasting methods for real time forecasting and for
                 prediction of foF2, M(3000)F2, MUF and TECs, including
                 the use of new techniques such as Neurofuzzy, Nearest
                 Neighbour, Cascade Modelling and Genetic Programming
                 and (iii) improved dynamic high latitude ionosphere
                 models through tomographic imaging and model
                 validation. The success of the prediction algorithms
                 and their improvement over existing methods has been
                 demonstrated by comparing predictions with later real
                 data. The collaboration between different European
                 partners (including interchange of data) has played a
                 significant part in the development and validation of
                 these new prediction and forecasting methods, programs
                 and algorithms which can be applied to a variety of
                 practical applications leading to improved mitigation
                 of ionosphereic and space weather effects.",
  notes =        "GETY GP models reported in
                 \cite{Tolga_Yapici:MastersThesis} Influences of
                 interplanetary magnetic field on the variability of the
                 aerospace media, Masters Thesis, Aerospace Eng.,
                 (Middle East Technical University Ankara, Turkey, Sep.

                 Electronic and Electrical Engineering, University of
                 Leeds, Leeds, UK",

Genetic Programming entries for Hal Strangeways Ivan Kutiev Ljiljana Cander Stamatis Kouris Vadim Gherm Diego Marin Benito De La Morena S Eleri Pryse Loredana Perrone Marco Pietrella Stanimir Stankov Lukasz Tomasik Ersin Tulunay Yurdanur Tulunay Nikolay Zernov Bruno Zolesi