Use of Genetic Programming In The Identification Of Rational Model Structures
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{rodriguez-vazquez:2000:GPirms,
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author = "Katya Rodriguez-Vazquez and Peter J. Fleming",
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title = "Use of Genetic Programming In The Identification Of
Rational Model Structures",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2000",
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year = "2000",
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editor = "Riccardo Poli and Wolfgang Banzhaf and
William B. Langdon and Julian F. Miller and Peter Nordin and
Terence C. Fogarty",
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volume = "1802",
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series = "LNCS",
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pages = "181--192",
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address = "Edinburgh",
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publisher_address = "Berlin",
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month = "15-16 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-67339-3",
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DOI = "doi:10.1007/978-3-540-46239-2_13",
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abstract = "This paper demonstrates how genetic programming can be
used for solving problems in the field of non-linear
system identification of rational models. By using a
two-tree structure rather than introducing the division
operator in the function set, this genetic programming
approach is able to determine the true model structure
of the system under investigation. However, unlike use
of the polynomial, which is linear in the parameters,
use of rational model is non-linear in the parameters
and thus noise terms cannot be estimated properly. By
means of a second optimisation process (real-coded GA)
which has the aim of tunning the coefficients to the
true values, these parameters are then correctly
computed. This approach is based upon the well-known
NARMAX model representation, widely used in non-linear
system identification.",
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notes = "EuroGP'2000, part of \cite{poli:2000:GP}",
- }
Genetic Programming entries for
Katya Rodriguez-Vazquez
Peter J Fleming
Citations