Non-linear Principal Components Analysis Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@TechReport{hiden:1996:npcaGP,
  author =       "H. G. Hiden and M. J. Willis and P. Turner and 
                 M. T. Tham and G. A. Montague",
  title =        "Non-linear Principal Components Analysis Using Genetic
                 Programming",
  institution =  "Chemical Engineering, Newcastle University",
  year =         "1996",
  address =      "UK",
  note =         "Extended Abstract, ICANNGA '97, Norwich, UK",
  keywords =     "genetic algorithms, genetic programming",
  broken =       "http://lorien.ncl.ac.uk/sorg/paper9a.ps",
  abstract =     "The recent explosion of low-cost computing power and
                 information storage has brought with it a corresponding
                 mushrooming in the amount of data on almost any subject
                 conceivable that is available. The philosophy that you
                 cant have enough information seems to have been applied
                 to every situation with great enthusiasm. By adopting
                 such an approach, much useful data can be gathered,
                 however it is all too frequently swamped by irrelevant
                 information. The distinction must be made between
                 useful information and information for the sake of
                 having it. The chemical industry also has not been
                 immune to the data collection bug. The equipment
                 required to collect, process and store data is more
                 affordable than ever, a fact which the designers of
                 chemical processes are beginning to exploit.
                 Unfortunately, this data is not particularly useful on
                 its own. It is very easy to collect data, but difficult
                 to analyse it productively. It is this situation that
                 has spawned a wide variety of data analysis tools, the
                 objective of which is to determine underlying
                 relationships and structures within large data sets.",
  notes =        "MSword postscript not compatible with unix.

                 ",
}

Genetic Programming entries for Hugo Hiden Mark J Willis Paul Turner Ming T Tham Gary A Montague

Citations