Local Volterra multivariable chaotic time series multi-step prediction based on phase points clustering
To solve the multivariable multi-step prediction problem in chaotic complex systems, this paper proposes a local Volterra model based on phase points clustering. Firstly, reconstruct the phase space of the data and calculate the similarity of the evolution trajectories. According to the similarity,...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
JVE International
2018-09-01
|
Series: | Journal of Vibroengineering |
Subjects: | |
Online Access: | https://www.jvejournals.com/article/19142 |