Name
Title | ||
|---|---|---|
Adaptive Synchronization of Reaction-Diffusion Neural Networks and Its Application to Secure Communication. |
Abstract | ||
|---|---|---|
This paper is mainly concerned with the synchronization problem of reaction-diffusion neural networks (RDNNs) with delays and its direct application in image secure communications. An adaptive control is designed without a sign function in which the controller gain matrix is a function of time. The synchronization criteria are established for an error model derived from master-slave models through... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TCYB.2018.2877410 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Synchronization,Artificial neural networks,Adaptation models,Brain modeling,Delay effects,Delays,Adaptive systems | Mathematical optimization,Control theory,Synchronization,Algorithm,Encryption,Sign function,Adaptive control,Artificial neural network,Chaotic,Mathematics,Secure communication | Journal |
Volume | Issue | ISSN |
50 | 3 | 2168-2267 |
Citations | PageRank | References |
22 | 0.59 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Lakshmanan | 1 | 286 | 16.33 |
| M. Prakash | 2 | 111 | 6.60 |
| R. Rakkiyappan | 3 | 1677 | 75.55 |
| Young Hoon Joo | 4 | 738 | 76.87 |