A study on the modeling of nonlinear system using genetic programming

Author

Kim, Boyeon ; Park, KwangSuk

Author_Institution

Interdisciplinary Program of Biomed. Eng., Seoul Nat. Univ., South Korea

Volume

4

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1668

Abstract

Even though there are several deterministic methods for the modeling of linear systems, there is no standard method for the modeling of nonlinear systems. Most biological systems can be thought of as nonlinear systems. For the modeling of biological systems the authors have studied nonlinear systems using genetic programming. Time series were generated from the simple known nonlinear dynamics. Then nonlinear dynamics was estimated from these time series using genetic programming. For the tested nonlinear systems this suggested method estimated the nonlinear dynamics correctly. This method also has been applied for the modeling of the dynamics of the 24-hour electrocardiogram

Keywords

electrocardiography; nonlinear systems; physiological models; time series; 24 h; 24-hours electrocardiogram; biological systems; genetic programming; nonlinear system modeling; simple known nonlinear dynamics; Biological cells; Biological system modeling; Biological systems; Dynamic programming; Genetic mutations; Genetic programming; Nonlinear dynamical systems; Nonlinear equations; Nonlinear systems; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.647604

Filename

647604