An evolutionary program for the identification of dynamical systems

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  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
  year =         "1997",
  editor =       "S. Rogers",
  volume =       "3077",
  pages =        "409--417",
  publisher_address = "Bellingham, WA, USA",
  organisation = "SPIE-The International Society for Optical
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 computation, evolutionary programming, system
                 identification, dynamical systems, optimization",
  URL =          "",
  DOI =          "doi:10.1117/12.271503",
  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