Name
Abstract | ||
|---|---|---|
•A general framework of neural grey system model is developed.•Levenberg-Marquardt algorithm and Bayesian regularization are used for the semiparametric estimation.•Bayesian regularization can tune the regularization parameters automatically.•The proposed model outperforms the other existing models in 6 real-world cases. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neucom.2021.05.048 | Neurocomputing |
Keywords | DocType | Volume |
Grey system model,Levenberg-Marquardt algorithm,Bayesian regularization,Time series forecasting | Journal | 456 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Ma | 1 | 42 | 11.29 |
| Mei Xie | 2 | 1 | 1.36 |
| J. A. Suykens | 3 | 30 | 5.97 |