2008Computer and Information TechnologyRequires access

Research On The Chaotic Time Series Identification Method

YE Xiao-zhou

Open publisher page 0 citations

Abstract

It is a piece of very meaningful task to identify whether the complex time series which has no apparent change in the rules is random or chaotic.The chaotic system usually can be identified by the existence of chaotic attractors.Around this characteristics,this paper discussed a number of chaotic time series identification methods.

About this research paper

What this paper is about

It is a piece of very meaningful task to identify whether the complex time series which has no apparent change in the rules is random or chaotic.The chaotic system usually can be identified by the existence of chaotic attractors.Around this characteristics,this paper discussed a number of chaotic time series identification methods.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

It is a piece of very meaningful task to identify whether the complex time series which has no apparent change in the rules is random or chaotic.The chaotic system usually can be identified by the existence of chaotic attractors.Around this characteristics,this paper discussed a number of chaotic time series identification methods.

Key concepts: Chaotic, Series (stratigraphy), Attractor, Identification (biology), Computer science, Time series, Task (project management), Statistical physics

Related papers

Back to paper searchBrowse research topicsOriginal source
Research On The Chaotic Time Series Identification Method — Research Paper | ScholarLens