Identification of nonlinear systems by the genetic programming-based volterra filter

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Yao:2009:IETsp,
  author =       "L. Yao and C.-C. Lin",
  title =        "Identification of nonlinear systems by the genetic
                 programming-based volterra filter",
  journal =      "IET Signal Processing",
  year =         "2009",
  month =        mar,
  volume =       "3",
  number =       "2",
  pages =        "93--105",
  keywords =     "genetic algorithms, genetic programming, associated
                 cross-products, genetic programming algorithm, input
                 signal, nonlinear systems, optimal Volterra filter
                 structure, reorganisation approach, tree extinction,
                 tree pruning, nonlinear filters, nonlinear programming,
                 signal processing",
  DOI =          "doi:10.1049/iet-spr:20070203",
  ISSN =         "1751-9675",
  pusblisher =   "The Institution of Engineering and Technology",
  abstract =     "The genetic programming (GP) algorithm is used to
                 search for the optimal Volterra filter structure. A
                 Volterra filter with high order and large memories
                 contains a large number of cross-product terms. Instead
                 of applying the GP algorithm to search for all
                 cross-products of input signals, it is used to search
                 for a smaller set of primary signals that evolve into
                 the whole set of cross-products. With GP's
                 optimisation, the important primary signals and the
                 associated cross-products of input signals contributing
                 most to the outputs are chosen whereas the primary
                 signals and the associated cross-products of input
                 signals that are trivial to the outputs are excluded
                 from the possible candidate primary signals. To improve
                 GP's learning capability, an effective directed
                 initialisation scheme, a tree pruning and
                 reorganisation approach, and a new operator called tree
                 extinction and regeneration are proposed. Several
                 experiments are made to justify the effectiveness and
                 efficiency of the proposed modified by the GP
                 algorithm.",
  notes =        "IET, Also known as \cite{4784466}",
}

Genetic Programming entries for Leehter Yao Chin-chin Lin

Citations