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A New View on Symbolic Regression

  • Klaus Weinert
  • Marc Stautner
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2278)

Abstract

Symbolic regression is a widely used method to reconstruct mathematical correlations. This paper presents a new graphical representation of the individuals reconstructed in this process. This new three dimensional representation allows the user to recognize certain possibilities to improve his setup of the process parameters. Furthermore this new representation allows a wider usage of the generated three dimensional objects with nearly every CAD program for further use. To show the practical usage of this new representation it was used to reconstruct mathematical descriptions of the dynamics in a machining process namely in orthogonal cutting.

Keywords

Genetic Program Genetic Operator Good Individual Orthogonal Cutting Symbolic Regression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Klaus Weinert
    • 1
  • Marc Stautner
    • 1
  1. 1.Dept. of Machining TechnologyUniversity of DortmundGermany

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