An evolutionary approach to identification of nonlinear dynamic systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{witkor01,
-
author = "Marcin Witczak and Jozef Korbicz",
-
title = "An evolutionary approach to identification of
nonlinear dynamic systems",
-
booktitle = "Artificial neural nets and genetic algorithms :
proceedings of the International Conference",
-
year = "2001",
-
editor = "Vera Kurkova and Nigel V. Steele and Roman Neruda and
Miroslav Karny",
-
pages = "240--243",
-
address = "Prague, Czech Republic",
-
publisher = "Springer-Verlag",
-
email = "M.Witczak@issi.uz.zgora.pl",
-
keywords = "genetic algorithms, genetic programming",
-
ISBN = "3-211-83651-9",
-
URL = "http://www.springer.com/computer/ai/book/978-3-211-83651-4",
-
abstract = "In this paper a nonlinear identification methodology
founded upon NARX model description ispresented. In
particular, the model determination procedure is
decomposed into the elementarymodel structures
selection one . Those models are represented as
fixed-depth trees and a geneticalgorithm is used to
obtain their appropriate form. To show the
effectiveness of the proposedapproach, the final part
of the paper contains examples concerning modelling the
juice temperature at the outlet of an evaporator at the
Lublin sugar factory.",
-
notes = "Nov 2012 Currently out of stock",
- }
Genetic Programming entries for
Marcin Witczak
Jozef Korbicz
Citations