An evolutionary program for the identification of dynamical systems

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{angeline:1997:spie,
  author =       "Peter J. Angeline and David B. Fogel",
  title =        "An evolutionary program for the identification of
                 dynamical systems",
  booktitle =    "Application and Science of Artificial Neural Networks
                 III",
  year =         "1997",
  editor =       "S. Rogers",
  volume =       "3077",
  pages =        "409--417",
  publisher_address = "Bellingham, WA, USA",
  organisation = "SPIE-The International Society for Optical
                 Engineering",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 computation, evolutionary programming, system
                 identification, dynamical systems, optimization",
  URL =          "http://www.natural-selection.com/Library/1997/spie97.pdf",
  size =         "9 pages",
  abstract =     "Various forms of neural networks have been applied to
                 the identification of non-linear dynamical systems. In
                 most of these methods, the network architecture is set
                 prior to training. In this paper, a method that evolves
                 a symbolic solution for plant models is described. This
                 method uses an evolutionary program to manipulate
                 collections of parse trees expressed in a task specific
                 language. Experiments performed on two unknown plants
                 show this method is competitive with those that train
                 neural networks for similar problems",
}

Genetic Programming entries for Peter John Angeline David B Fogel