Title :
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
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.647604
