Lyapunov exponent model of long term forecast

Zhen Shan Lin; Jian Liu; Xin Hou Hua; Fu Qing Zhang

doi:10.1016/0960-0779(93)90028-Y

Lyapunov exponent model of long term forecast

Zhen Shan Lin
, Jian Liu
, Xin Hou Hua
, Fu Qing Zhang

Meteorology and Atmospheric Science

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Considering the exponential divergence or convergence of nearby orbits in phase space, a Lyapunov exponent model is presented in this paper combining the chaotic and the statistical theory. Some experiments show that our model can forecast well.

Original language	English (US)
Pages (from-to)	431-437
Number of pages	7
Journal	Chaos, Solitons and Fractals
Volume	3
Issue number	4
DOIs	https://doi.org/10.1016/0960-0779(93)90028-Y
State	Published - 1993

All Science Journal Classification (ASJC) codes

Statistical and Nonlinear Physics
General Mathematics
Mathematical Physics
General Physics and Astronomy
Applied Mathematics

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10.1016/0960-0779(93)90028-Y

Cite this

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title = "Lyapunov exponent model of long term forecast",

abstract = "Considering the exponential divergence or convergence of nearby orbits in phase space, a Lyapunov exponent model is presented in this paper combining the chaotic and the statistical theory. Some experiments show that our model can forecast well.",

author = "Lin, \{Zhen Shan\} and Jian Liu and Hua, \{Xin Hou\} and Zhang, \{Fu Qing\}",

year = "1993",

doi = "10.1016/0960-0779(93)90028-Y",

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T1 - Lyapunov exponent model of long term forecast

AU - Lin, Zhen Shan

AU - Liu, Jian

AU - Hua, Xin Hou

AU - Zhang, Fu Qing

PY - 1993

Y1 - 1993

N2 - Considering the exponential divergence or convergence of nearby orbits in phase space, a Lyapunov exponent model is presented in this paper combining the chaotic and the statistical theory. Some experiments show that our model can forecast well.

AB - Considering the exponential divergence or convergence of nearby orbits in phase space, a Lyapunov exponent model is presented in this paper combining the chaotic and the statistical theory. Some experiments show that our model can forecast well.

UR - https://www.scopus.com/pages/publications/0027626756

UR - https://www.scopus.com/pages/publications/0027626756#tab=citedBy

U2 - 10.1016/0960-0779(93)90028-Y

DO - 10.1016/0960-0779(93)90028-Y

M3 - Article

AN - SCOPUS:0027626756

SN - 0960-0779

VL - 3

SP - 431

EP - 437

JO - Chaos, Solitons and Fractals

JF - Chaos, Solitons and Fractals

IS - 4

ER -

Lyapunov exponent model of long term forecast

Abstract

All Science Journal Classification (ASJC) codes

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