Non-linear Principal Components Analysis Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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