- author = "Wei Zhang and Zhi-ming Wu and Gen-ke Yang",
- title = "Genetic programming-based chaotic time series modeling",
- journal = "Journal of Zhejiang University Science",
- year = "2004",
- volume = "5",
- number = "11",
- pages = "1432--1439",
- keywords = "genetic algorithms, genetic programming, PSO, Chaotic time series analysis, Genetic programming modelling, Nonlinear Parameter Estimation (NPE), Particle Swarm Optimization, Nonlinear system identification",
- ISSN = "1009-3095",
-
URL = "
http://www.zju.edu.cn/jzus/2004/0411/041118.pdf",
-
DOI = "
10.1631/jzus.2004.1432",
- size = "8 pages",
- abstract = "This paper proposes a Genetic Programming-Based Modeling (GPM) algorithm on chaotic time series. GP is used here to search for appropriate model structures in function space, and the Particle Swarm Optimization (PSO) algorithm is used for Nonlinear Parameter Estimation (NPE) of dynamic model structures. In addition, GPM integrates the results of Nonlinear Time Series Analysis (NTSA) to adjust the parameters and takes them as the criteria of established models. Experiments showed the effectiveness of such improvements on chaotic time series modeling.",
-
notes = "Department of Automation, Shanghai Jiaotong
University, Shanghai 200030, China
JZUS http://www.zju.edu.cn/jzus Document code: A CLC number: TN914
chaotic Chebyshev-map",
