Title | ||
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Convergence and Multistability of Nonsymmetric Cellular Neural Networks With Memristors. |
Abstract | ||
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Recent work has considered a class of cellular neural networks (CNNs) where each cell contains an ideal capacitor and an ideal flux-controlled memristor. One main feature is that during the analog computation the memristor is assumed to be a dynamic element, hence each cell is second-order with state variables given by the capacitor voltage and the memristor flux. Such CNNs, named dynamic memristo... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TCYB.2016.2586115 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Memristors,Convergence,Computer architecture,Capacitors,Artificial neural networks,Microprocessors,Steady-state | Convergence (routing),Memristor,Control theory,Computer science,Irreducibility,State variable,Multistability,Memistor,Steady state,Cellular neural network | Journal |
Volume | Issue | ISSN |
47 | 10 | 2168-2267 |
Citations | PageRank | References |
14 | 0.50 | 34 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mauro Di Marco | 1 | 205 | 18.38 |
Mauro Forti | 2 | 398 | 36.80 |
Luca Pancioni | 3 | 207 | 17.58 |