Name
Title | ||
|---|---|---|
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels |
Abstract | ||
|---|---|---|
•Gated Recurrent Units with attention mechanism learn time-series features efficiently.•Multi-channel model exploits correlations among the various cryptocurrency prices.•Convolutional neural networks extract local features effectively. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115378 | Expert Systems with Applications |
Keywords | DocType | Volume |
Cryptocurrency,Time-series forecasting,Convolutional neural networks,Gated recurrent units,Channel weighting,Attention mechanism | Journal | 183 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhuorui Zhang | 1 | 0 | 0.34 |
| Hongning Dai | 2 | 629 | 62.25 |
| Junhao Zhou | 3 | 6 | 2.80 |
| Subrota Kumar Mondal | 4 | 0 | 1.01 |
| Miguel Martinez-Garcia | 5 | 0 | 0.34 |
| Hao Wang | 6 | 216 | 56.92 |