One-step-ahead prediction of sunspots with genetic programming

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

  annote =       "*on,*FIN,genetic programming,astronomy /sunspots,time
                 series sunspots",
  author =       "Harri J{\"a}ske",
  title =        "One-step-ahead prediction of sunspots with genetic
  pages =        "79--88",
  year =         "1996",
  editor =       "Jarmo T. Alander",
  booktitle =    "Proceedings of the Second Nordic Workshop on Genetic
                 Algorithms and their Applications (2NWGA)",
  series =       "Proceedings of the University of Vaasa, Nro. 13",
  publisher =    "University of Vaasa",
  address =      "Vaasa (Finland)",
  month =        "19.-23.~" # aug,
  organisation = "Finnish Artificial Intelligence Society",
  keywords =     "genetic algorithms, genetic programming, time series
                 prediction , sunspots",
  URL =          "",
  broken =       "",
  abstract =     "Timeinvariant nonlinear one-step-ahead prediction
                 models were developed by genetic programming. As a test
                 case benchmark sunspot series was used. Functional form
                 and numerical parameters of the models were optimized.
                 The generalisation ability, i.e. final suitability, of
                 the predictors was assessed through crossvalidation.
                 The results were compared to those of threshold
                 autoregression and neural network -based predictors of
                 the sunspot benchmarks found in literature. Standard
                 GP-approach is shown not to be sufficient to solve this
                 prediction problem as well as the methods in comparison
  notes =        "lil-gp, non standard GP parameters? {"}evolved models
                 might not be numerically stable{"} page 86


Genetic Programming entries for Harri Jaske