Low power convolutional architectures
Three operator switching systems based on forgetting memristor bridge
Bibliographic Data
| ID | 21230916 |
|---|---|
| Authors | Ling Chen (0000-0002-1725-4942, Southwest University, corresponding author), Chencheng Gong (Southwest University), Chuandong Li (0000-0001-6155-4849, Southwest University), Junjian Huang (0000-0001-7995-092X, Southwest University) |
| Year | 2021 |
| Volume | 69 |
| Pages | 102849 |
| Publication date | 2021-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2021.102849 |
| OpenAlex | W3136300372 |
| Language | EN |
| References cited | 38 |
Artificial neural network · Convolutional neural network · Electronic engineering · Forgetting · Image processing · Memristor · Von Neumann architecture · Advanced Memory and Neural Computing · CCD and CMOS Imaging Sensors · Computer Science · Engineering · Neuroscience and Neural Engineering · Artificial Intelligence
Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city
An adaptive ensemble predictive strategy for multiple scale electrical energy usages forecasting
Energy cost minimization for sustainable cloud computing using option pricing
Advances and challenges in building engineering and data mining applications for energy-efficient communities
Two Centuries of Memristors
| Citation velocity | historical |
|---|---|
| Highly cited | No |