Reconstruction of Physical Correlations Using Symbolic Regression

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@TechReport{oai:eldorado:0x00041622,
  title =        "Reconstruction of Physical Correlations Using Symbolic
                 Regression",
  author =       "Klaus Weinert and Marc Stautner",
  year =         "2001",
  institution =  "Dept. of Machining Technology, University of
                 Dortmund",
  address =      "D-44227 Dortmund, Germany",
  month =        jul # " 24",
  keywords =     "genetic algorithms, genetic programming",
  language =     "ENG",
  oai =          "oai:eldorado:0x00041622",
  rights =       "These documents can be used freely according to
                 copyright laws. They can be printed freely. It is not
                 allowed to distribute them further on.",
  URL =          "http://hdl.handle.net/2003/5415",
  URL =          "https://eldorado.tu-dortmund.de/bitstream/2003/5415/1/116.pdf",
  abstract =     "Modeling the particle flow mechanisms in orthogonal
                 cutting of turning processes is a vital task in
                 mechanical engineering. This paper presents a new
                 approach that differs from techniques like finite
                 element analyzes (FEA) or molecular dynamics (MD).
                 Using symbolic regression, a genetic programming system
                 evolves mathematical formulae that describe the
                 trajectories of single particles of steel recorded
                 during the turning process by a high-speed camera.",
  notes =        "WINanalyze",
  size =         "9 pages",
}

Genetic Programming entries for Klaus Weinert Marc Stautner

Citations