Genetic programming as an analytical tool for non-linear dielectric spectroscopy
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{woodward:1999:GPatnlds,
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author = "Andrew M. Woodward and Richard J. Gilbert and
Douglas B. Kell",
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title = "Genetic programming as an analytical tool for
non-linear dielectric spectroscopy",
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journal = "Bioelectrochemistry and Bioenergetics",
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year = "1999",
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volume = "48",
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number = "2",
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pages = "389--396",
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keywords = "genetic algorithms, genetic programming, Dielectric
spectroscopy, Multivariate calibration, Non-linear,
Fermentation, Biotechnology",
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URL = "http://www.sciencedirect.com/science/article/B6TF7-3WJ72RJ-T/2/19fd01a6eb6ae0b8e12b2bb2218fb6e9",
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DOI = "doi:10.1016/S0302-4598(99)00022-7",
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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.",
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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
Citations