Name
Title | ||
|---|---|---|
Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction. |
Abstract | ||
|---|---|---|
Spatio-temporal series prediction has attracted increasing attention in the field of meteorology in recent years. The spatial and temporal joint effect makes predictions challenging. Most of the existing spatio-temporal prediction models are computationally complicated. To develop an accurate but easy-to-implement spatio-temporal prediction model, this paper designs a novel spatio-temporal predict... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TNNLS.2018.2869131 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Computational modeling,Predictive models,Reservoirs,Splines (mathematics),Atmospheric modeling,Prediction algorithms,Interpolation | Spline (mathematics),Normalization (statistics),Pattern recognition,Computer science,Interpolation,Algorithm,Memory model,Artificial intelligence,Echo state network,Artificial neural network,Randomness,Computation | Journal |
Volume | Issue | ISSN |
30 | 6 | 2162-237X |
Citations | PageRank | References |
1 | 0.34 | 27 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meiling Xu | 1 | 43 | 2.72 |
| Yuanzhe Yang | 2 | 1 | 0.34 |
| Min Han | 3 | 761 | 68.01 |
| Tie Qiu | 4 | 895 | 80.18 |
| Hongfei Lin | 5 | 768 | 122.52 |