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

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{woodward:1999:GPatnlds,

• 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 = "http://www.sciencedirect.com/science/article/B6TF7-3WJ72RJ-T/2/19fd01a6eb6ae0b8e12b2bb2218fb6e9",
• 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 interpretability.",
• 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

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