Name
Title | ||
|---|---|---|
Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction. |
Abstract | ||
|---|---|---|
How to make full use of the evolution information of chaotic systems for time-series prediction is a difficult issue in dynamical system modeling. In this article, we propose a maximum information exploitation broad learning system (MIE-BLS) for extreme information utilization of large-scale chaotic time-series modeling. An improved leaky integrator dynamical reservoir is introduced in order to ca... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2020.3004253 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Reservoirs,Time series analysis,Feature extraction,Learning systems,Neural networks,Data mining,Manifolds | Journal | 32 |
Issue | ISSN | Citations |
6 | 2162-237X | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Min Han | 1 | 761 | 68.01 |
| Weijie Li | 2 | 66 | 11.27 |
| Shoubo Feng | 3 | 20 | 1.99 |
| Tie Qiu | 4 | 895 | 80.18 |
| C L Philip Chen | 5 | 698 | 34.35 |