Research On The Chaotic Time Series Identification Method
YE Xiao-zhou
Abstract
YE Xiao-zhou
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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