Research on Time Series Modeling by Genetic Programming and Model De-noising

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{oai:CiteSeerX.psu:10.1.1.522.8848,
  author =       "Yongqiang Zhang and Lili Wu",
  title =        "Research on Time Series Modeling by Genetic
                 Programming and Model De-noising",
  booktitle =    "Proceedings of the 2007 WSEAS International Conference
                 on Computer Engineering and Applications",
  year =         "2007",
  address =      "Gold Coast, Australia",
  month =        jan # " 17-19",
  publisher =    "WSEAS",
  keywords =     "genetic algorithms, genetic programming, denoising,
                 wavelet threshold, time series, modelling, gp model",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:10.1.1.522.8848",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.522.8848",
  URL =          "http://www.wseas.us/e-library/conferences/2007australia/papers/550-117.pdf",
  size =         "5 pages",
  abstract =     "In order to cast off the subjective assumptions of
                 traditional methods for modelling, this paper brings
                 forward the Genetic Programming (GP for short)
                 algorithm to establish a reasonable system model
                 dynamically for time series signal. Meanwhile, the
                 approach of wavelet threshold is adopted to de-noising
                 for the GP models. On the basis of these theories, the
                 simulation experimentations about two instances are
                 carried on. The results indicate that the threshold
                 approach of wavelet de-noising for time series signal
                 models take on better impacts, which can improve the GP
                 models to some extent, and enhance the forecast
                 precision of the model.",
}

Genetic Programming entries for Yongqiang Zhang Lili Wu

Citations