Name
Title | ||
|---|---|---|
Modelling of chaotic systems with recurrent least squares support vector machines combined with reconstructed embedding phase space |
Abstract | ||
|---|---|---|
A new strategy of modelling of chaotic systems is presented. First, more information is acquired utilizing the reconstructed embedding phase space. Then, based on the Recurrent Least Squares Support Vector Machines (RLS-SVM), modelling of the chaotic system is realized. We use the power spectrum and dynamic invariants involving the Lyapunov exponents and the correlation dimension as criterions, and then apply our method to the Chua‘s circuit time series. The simulation of dynamic invariants between the origin and generated time series shows that the proposed method can capture the dynamics of the chaotic time series effectively. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11539087_73 | ICNC (1) |
Keywords | Field | DocType |
time series,reconstructed embedding phase space,correlation dimension,chaotic system,squares support vector machine,squares support,lyapunov exponent,chaotic time series,dynamic invariants,vector machines,circuit time series,power spectrum,phase space,least squares support vector machine,generation time | Attractor,Least squares,Mathematical optimization,Embedding,Control theory,Computer science,Support vector machine,Phase space,Algorithm,Correlation dimension,Chaotic,Lyapunov exponent | Conference |
Volume | ISSN | ISBN |
3610 | 0302-9743 | 3-540-28323-4 |
Citations | PageRank | References |
1 | 0.63 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zheng Xiang | 1 | 1 | 0.63 |
| Taiyi Zhang | 2 | 176 | 17.60 |
| Jiancheng Sun | 3 | 43 | 7.79 |