Strength of Ferritic Steels: Neural Networks and Genetic Programming

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

@Article{Dimitriu:2009:MMP,
  author =       "R. C. Dimitriu and H. K. D. H. Bhadeshia and 
                 C. Fillon and C. Poloni",
  title =        "Strength of Ferritic Steels: Neural Networks and
                 Genetic Programming",
  journal =      "Materials and Manufacturing Processes",
  year =         "2009",
  volume =       "24",
  number =       "1",
  pages =        "10--15",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, ANN, Creep
                 strength, Ferritic steels, Hot strength, Neural
                 networks, Steel",
  ISSN =         "1042-6914",
  URL =          "http://www.msm.cam.ac.uk/phasetrans/2009/Dimitriu.html",
  DOI =          "doi:10.1080/10426910802539796",
  size =         "6 pages",
  abstract =     "An analysis is presented of a complex set of data on
                 the strength of steels as a function of chemical
                 composition, heat treatment, and test temperature. The
                 steels represent a special class designed to resist
                 deformation at elevated temperatures (750-950 K) over
                 time periods in excess of 30 years, whilst serving in
                 hostile environments. The aim was to compare two
                 methods, a neural network based on a Bayesian
                 formulation, and genetic programming in which the data
                 are formulated in an evolutionary procedure. It is
                 found that in the present context, the neural network
                 is able more readily to capture greater complexity in
                 the data whereas a genetic program seems to require
                 greater intervention to achieve an accurate
                 representation.",
  notes =        "Affiliations: Department of Materials Science and
                 Metallurgy, University of Cambridge, Cambridge,
                 England, UK

                 Department of Electrical Engineering and Computer
                 Science, University of Trieste, Trieste, Italy",
}

Genetic Programming entries for Radu Calin Dimitriu Harry Bhadeshia Cyril Fillon Carlo Poloni

Citations