Name
Abstract | ||
|---|---|---|
Neural networks (NNs) are effective machine learning models that require significant hardware and energy consumption in their computing process. To implement NNs, stochastic computing (SC) has been proposed to achieve a tradeoff between hardware efficiency and computing performance. In an SC NN, hardware requirements and power consumption are significantly reduced by moderately sacrificing the inf... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2020.3009047 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Artificial neural networks,Neurons,Hardware,Machine learning,Biological neural networks,Training,Stochastic processes | Journal | 32 |
Issue | ISSN | Citations |
7 | 2162-237X | 2 |
PageRank | References | Authors |
0.40 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yidong Liu | 1 | 9 | 1.99 |
| Siting Liu | 2 | 15 | 2.41 |
| Yanzhi Wang | 3 | 1082 | 136.11 |
| Fabrizio Lombardi | 4 | 57 | 10.81 |
| Jie Han | 5 | 863 | 66.92 |