Name
Abstract | ||
|---|---|---|
This article introduces a new class of memristor neural networks (NNs) for solving, in real-time, quadratic programming (QP) and linear programming (LP) problems. The networks, which are called memristor programming NNs (MPNNs), use a set of filamentary-type memristors with sharp memristance transitions for constraint satisfaction and an additional set of memristors with smooth memristance transit... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCYB.2020.2997686 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Memristors,Artificial neural networks,Optimization,Capacitors,Computer architecture,Real-time systems | Journal | 52 |
Issue | ISSN | Citations |
3 | 2168-2267 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mauro Di Marco | 1 | 205 | 18.38 |
| Mauro Forti | 2 | 398 | 36.80 |
| Luca Pancioni | 3 | 207 | 17.58 |
| Giacomo Innocenti | 4 | 23 | 10.21 |
| Alberto Tesi | 5 | 293 | 57.38 |