On the Filtering Properties of Evolved Gate Arrays

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Julian F. Miller",
  title =        "On the Filtering Properties of Evolved Gate Arrays",
  booktitle =    "The First NASA/DoD Workshop on Evolvable Hardware",
  year =         "1999",
  editor =       "Adrian Stoica and Jason Lohn and Didier Keymeulen",
  pages =        "2--11",
  address =      "Pasadena, California",
  publisher_address = "1730 Massachusetts Avenue, N.W., Washington, DC
                 20036-1992, USA",
  month =        "19-21 " # jul,
  organisation = "Jet Propulsion Laboratory, California Institute of
  publisher =    "IEEE Computer Society",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7695-0256-3",
  URL =          "http://www.elec.york.ac.uk/intsys/users/jfm7/eh99.pdf",
  abstract =     "A small gate array is evolved extrinsically to carry
                 out a low pass filtering task defined over fifteen
                 different frequencies. The circuit is evolved by
                 assessing its response digitised sine waves. Two
                 different fitness functions are contrasted. One is
                 based on computing the sum of the absolute differences
                 between the actual response and that desired, the other
                 is defined by examining characteristics of the Discrete
                 Fourier Transform of the output. The gate arrays
                 possess some linear properties, which means that they
                 are capable of filtering composite signals which have
                 not been encountered in training. This includes signals
                 with noise added and with frequencies which are not in
                 the training set.",
  notes =        "EH1999 http://cism.jpl.nasa.gov/events/nasa_eh/",

Genetic Programming entries for Julian F Miller