Genetic programming as an analytical tool for non-linear dielectric spectroscopy

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Andrew M. Woodward and Richard J. Gilbert and 
                 Douglas B. Kell",
  title =        "Genetic programming as an analytical tool for
                 non-linear dielectric spectroscopy",
  journal =      "Bioelectrochemistry and Bioenergetics",
  year =         "1999",
  volume =       "48",
  number =       "2",
  pages =        "389--396",
  keywords =     "genetic algorithms, genetic programming, Dielectric
                 spectroscopy, Multivariate calibration, Non-linear,
                 Fermentation, Biotechnology",
  URL =          "",
  DOI =          "doi:10.1016/S0302-4598(99)00022-7",
  abstract =     "By modelling the non-linear effects of membranous
                 enzymes on an applied oscillating electromagnetic field
                 using supervised multivariate analysis methods,
                 Non-Linear Dielectric Spectroscopy (NLDS) has
                 previously been shown to produce quantitative
                 information that is indicative of the metabolic state
                 of various organisms. The use of Genetic Programming
                 (GP) for the multivariate analysis of NLDS data
                 recorded from yeast fermentations is discussed, and GPs
                 are compared with previous results using Partial Least
                 Squares (PLS) and Artificial Neural Nets (NN). GP
                 considerably outperforms these methods, both in terms
                 of the precision of the predictions and their
  notes =        "5 demes (5Inject2Way) pop=5*10000, 200 gens. linear GP
                 (* / + -) and more complex function set. Automatic
                 deconvolution of equation tree evolved by LGP. PMID:
                 10379559; UI: 99306227.",

Genetic Programming entries for Andrew M Woodward Richard J Gilbert Douglas B Kell