An Improved Genetic Programming Technique for the Classification of Raman Spectra

  • Kenneth Hennessy
  • Michael G. Madden
  • Jennifer Conroy
  • Alan G. Ryder
Conference paper

Abstract

The aim of this study is to evaluate the effectiveness of genetic programming relative to that of more commonly-used methods for the identification of components within mixtures of materials using Raman spectroscopy. A key contribution of the genetic programming technique proposed in this research is that it explicitly aims to optimise the certainty levels associated with discovered rules, so as to minimize the chance of misclassification of future samples.

Keywords

Raman Spectrum Raman Spectroscopy Partial Little Square Principal Component Regression Anal Chim 
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 London Limited 2005

Authors and Affiliations

  • Kenneth Hennessy
    • 1
  • Michael G. Madden
    • 1
  • Jennifer Conroy
    • 1
  • Alan G. Ryder
    • 1
  1. 1.National University of IrelandGalwayIreland

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