中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimation of Lyapunov spectrum and model selection for a chaotic time series

文献类型:期刊论文

作者Li, Qinglan; Xu, Pengcheng
刊名APPLIED MATHEMATICAL MODELLING
出版日期2012
英文摘要The estimation of the Lyapunov spectrum for a chaotic time series is discussed in this study. Three models: the local linear (LL) model; the local polynomial (LP) model and the global radial basis function (RBF) model, are compared for estimating the Lyapunov spectrum in this study. The number of neighbors for training the LL model and the LP model; the number of centers for building the RBF model, have been determined by the generalized degree of freedom for a chaotic time series. The above models have been applied to three artificial chaotic time series and two real-world time series, the numerical results show that the model-chosen LL model provides more accurate estimation than other models for clean data set while the RBF model behaves more robust to noise than other models for noisy data set. © 2012 Elsevier Inc.(19 refs)
收录类别SCI
原文出处http://www.sciencedirect.com/science/article/pii/S0307904X1200039X
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/4143]  
专题深圳先进技术研究院_数字所
作者单位APPLIED MATHEMATICAL MODELLING
推荐引用方式
GB/T 7714
Li, Qinglan,Xu, Pengcheng. Estimation of Lyapunov spectrum and model selection for a chaotic time series[J]. APPLIED MATHEMATICAL MODELLING,2012.
APA Li, Qinglan,&Xu, Pengcheng.(2012).Estimation of Lyapunov spectrum and model selection for a chaotic time series.APPLIED MATHEMATICAL MODELLING.
MLA Li, Qinglan,et al."Estimation of Lyapunov spectrum and model selection for a chaotic time series".APPLIED MATHEMATICAL MODELLING (2012).

入库方式: OAI收割

来源:深圳先进技术研究院

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