An evolutionary approach to identification of nonlinear dynamic systems

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

@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