Name
Abstract | ||
|---|---|---|
In this article, we propose a memristor-based ShuffleNetV2 for image classification. Because of the low power consumption and high integration, this circuit is suitable for edge computing. The memristor-based ShuffleNetV2 is divided into four kinds of units, and each unit is composed by a series of basic memristive neural circuits, such as memristive convolutional neural networks (MCNNs), memristi... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCAD.2020.3022970 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
Keywords | DocType | Volume |
Memristors,Biological neural networks,Power demand,Machine learning,Edge computing,Neurons,Integrated circuit modeling | Journal | 40 |
Issue | ISSN | Citations |
8 | 0278-0070 | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huanhuan Ran | 1 | 1 | 1.03 |
| Shiping Wen | 2 | 1231 | 72.34 |
| Shiqin Wang | 3 | 15 | 3.18 |
| yuting cao | 4 | 48 | 9.75 |
| Pan Zhou | 5 | 123 | 16.76 |
| Tingwen Huang | 6 | 5684 | 310.24 |