Hardenability modeling

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Miha Kovacic",
  title =        "Hardenability modeling",
  journal =      "RMZ - Materials and Geoenvironment (Materiali in
  year =         "2010",
  volume =       "57",
  number =       "2",
  pages =        "173--180",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming,
                 Hardenability, Jominy test, spring steel, modeling,
                 prekaljivost, Jominyjev preizkus, vzmetno jeklo,
                 modeliranje, genetsko programiranje",
  ISSN =         "1408-7073",
  URL =          "http://www.rmz-mg.com/letniki/rmz57/RMZ57_2.pdf",
  size =         "8 pages",
  abstract =     "The paper presents the use of genetic programming and
                 linear regression method for hardenability modeling for
                 51CrV4 spring steel. The experimental data on chemical
                 composition, distance from the specimen face and Jominy
                 test results of 74 batches were collected. On the basis
                 of the experimental data set, a mathematical model for
                 the Jominy test was developed by genetic programming
                 and linear regression. The models were also tested on
                 the basis of experimental data on 871 batches. The
                 results show that the genetically developed model
                 performs better and the results can be easily used also
                 in practice.",
  notes =        "p180 'The results show that both approaches' [GP and
                 Linear Regression] 'give pretty the same idea about
                 influencing parameters and also the genetically
                 developed model performs better. The results can be
                 easily practically used for chemical composition

Genetic Programming entries for Miha Kovacic