Characterizing Signal Behaviour Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Per Jonsson and Jonas Barklund",
  title =        "Characterizing Signal Behaviour Using Genetic
  booktitle =    "Evolutionary Computing",
  publisher =    "Springer-Verlag",
  year =         "1996",
  editor =       "Terence C. Fogarty",
  number =       "1143",
  series =       "Lecture Notes in Computer Science",
  pages =        "62--72",
  address =      "University of Sussex, UK",
  month =        "1-2 " # apr,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-61749-3",
  DOI =          "doi:10.1007/BFb0032773",
  size =         "11 pages",
  abstract =     "Our overall goal is to detect automatically that a
                 signal begins to deviate from its previous behaviours,
                 using no other information than a sequence of samples
                 of the signal. In order to detect such changes we use
                 genetic programming to evolve an expression describing
                 how the signal varies over time. One major difficulty
                 when observing such signals is that they typically
                 contain noise and other disturbances. Such disturbances
                 makes it more difficult to find a useful expression
                 characterising the signal. We have derived a new method
                 that simultaneously evolves a numeral denoting the
                 number of neighbours to use in a moving average of the
                 signal, and an expression characterizing the smoothed
  notes =        "The post-workshop proceedings of the 1996 AISB
                 workshop on evolutionary computing.",
  affiliation =  "Uppsala University Computing Science Department Box
                 311 751 05 Uppsala Sweden Box 311 751 05 Uppsala

Genetic Programming entries for Per Jonsson Jonas Barklund