A study on the modeling of nonlinear system using genetic programming

被引：0
|
作者：
Kim, B [1 ]
Park, K [1 ]
机构：
[1] Seoul Natl Univ, Interdisciplinary Program Biomed Engn Major, Seoul, South Korea
来源：
PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5 | 1997年 / 18卷
关键词：
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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 of the biological systems can be thought as nonlinear systems. For the modeling of biological systems we have studied to model nonlinear systems using genetic programming. Time series were generated from the simple known nonlinear dynamics. Given nonlinear dynamics was estimated from these time series using genetic programming. For the tested nonlinear systems, suggested method estimated the nonlinear dynamics correctly. This method also has been applied for the modeling of dynamics of the 24-hours electrocardiogram.
引用
收藏
页码：1668 / 1669
页数：2
相关论文
共 50 条
  • [31] Using genetic programming to discover nonlinear variable interactions
    Westbury, C
    Buchanan, L
    Sanderson, M
    Rhemtulla, M
    Phillips, L
    BEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS, 2003, 35 (02): : 202 - 216
  • [32] Fuzzy nonlinear goal programming using genetic algorithm
    Ashikaga Inst of Technology, Ashikaga, Japan
    Comput Ind Eng, 1-2 (39-42):
  • [33] Power System Load Modeling Based on Genetic Programming
    Zhang, Jian
    Zhang, Chaohui
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE, 2014, 101 : 133 - 136
  • [34] Genetic Programming Using Dynamic Population Variation for Computational Efforts Reduction in System Modeling
    陶砚蕴
    曹健
    李明禄
    JournalofShanghaiJiaotongUniversity(Science), 2012, 17 (02) : 190 - 196
  • [35] Genetic programming using dynamic population variation for computational efforts reduction in system modeling
    Tao, Yan-Yun
    Cao, Jian
    Li, Ming-Lu
    Journal of Shanghai Jiaotong University (Science), 2012, 17 (02) : 190 - 196
  • [36] Nonlinear modeling for time series based on the genetic programming and its applications
    Lu, Jian-Jun
    Liu, Yun-Zing
    Tokinaga, Shozo
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 2097 - +
  • [37] System identification using Genetic Programming and Gene Expression Programming
    Flores, JJ
    Graff, M
    COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS, 2005, 3733 : 503 - 511
  • [38] Nonlinear mathematical modeling of seed spacing uniformity of a pneumatic planter using genetic programming and image processing
    Zahra Abdolahzare
    Saman Abdanan Mehdizadeh
    Neural Computing and Applications, 2018, 29 : 363 - 375
  • [39] Nonlinear mathematical modeling of seed spacing uniformity of a pneumatic planter using genetic programming and image processing
    Abdolahzare, Zahra
    Mehdizadeh, Saman Abdanan
    NEURAL COMPUTING & APPLICATIONS, 2018, 29 (02): : 363 - 375
  • [40] Multi-objective genetic programming for nonlinear system identification
    Automat. Contr. and Syst. Eng., University of Sheffield, Mappin Street, Sheffield S1 3JD, United Kingdom
    Electron Lett, 9 (930-931):
12345