Name
Abstract | ||
|---|---|---|
Echo state network (ESN) is a new kind of recurrent neural network with a randomly generated reservoir structure and an adaptable linear readout layer. It has been widely employed in the field of time series prediction. However, when high-dimensional reservoirs are utilized to predict multivariate time series, there may be a collinearity problem. In this paper, to overcome the collinearity problem... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TCYB.2015.2467167 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Reservoirs,Time series analysis,Predictive models,Adaptation models,Training,Estimation,Prediction algorithms | Time series,Collinearity,Mathematical optimization,Computer science,Elastic net regularization,Lasso (statistics),Recurrent neural network,Regularization (mathematics),Artificial intelligence,Echo state network,Chaotic,Machine learning | Journal |
Volume | Issue | ISSN |
46 | 10 | 2168-2267 |
Citations | PageRank | References |
16 | 0.57 | 24 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meiling Xu | 1 | 67 | 4.11 |
| Min Han | 2 | 164 | 8.79 |