Modeling Time Series of Real Systems using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Dilip P. Ahalpara and Jitendra C. Parikh",
  title =        "Modeling Time Series of Real Systems using Genetic
  howpublished = "ArXiv Nonlinear Sciences e-prints",
  year =         "2006",
  month =        "14 " # jul,
  note =         "Submitted to Physical Review E",
  adsurl =       "",
  adsnote =      "Provided by the Smithsonian/NASA Astrophysics Data
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  size =         "10 pages",
  abstract =     "Analytic models of two computer generated time series
                 (Logistic map and Rossler system) and two real time
                 series (ion saturation current in Aditya Tokamak plasma
                 and NASDAQ composite index) are constructed using
                 Genetic Programming (GP) framework. In each case, the
                 optimal map that results from fitting part of the data
                 set also provides a very good description of rest of
                 the data. Predictions made using the map iteratively
                 range from being very good to fair.",
  notes =        "nlin/0607029

                 See also \cite{Ahalpara:2008:IJMPC}",

Genetic Programming entries for Dilip P Ahalpara Jitendra C Parikh