Name
Title | ||
|---|---|---|
Stability analysis of two-dimensional neutral-type Cohen-Grossberg BAM neural networks. |
Abstract | ||
|---|---|---|
Two-dimensional system model represents a wide range of practical systems, such as image data processing and transmission, thermal processes, gas absorption and water stream heating. Moreover, there are few dynamical discussions for the two-dimensional neutral-type Cohen---Grossberg BAM neural networks. Hence, in this paper, our purpose is to investigate the stability of two-dimensional neutral-type Cohen---Grossberg BAM neural networks. The first objective is to construct mathematical models to illustrate the two-dimensional structure and the neutral-type delays in Cohen---Grossberg BAM neural networks. Then, a sufficient condition is given to achieve the stability of two-dimensional neutral-type continuous Cohen---Grossberg BAM neural networks. Finally, simulation results are given to illustrate the usefulness of the developed criteria. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s00521-015-2099-1 | Neural Computing and Applications |
Keywords | Field | DocType |
Two-dimensional neutral-type Cohen–Grossberg BAM neural networks, Global asymptotic stability, Inequality technique, Lyapunov functional | Data processing,Control theory,Artificial intelligence,Mathematical model,Artificial neural network,Lyapunov functional,Mathematics,System model | Journal |
Volume | Issue | ISSN |
28 | 4 | 1433-3058 |
Citations | PageRank | References |
9 | 0.46 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenjun Xiong | 1 | 225 | 20.20 |
| Yun-Bo Shi | 2 | 38 | 9.82 |
| Jinde Cao | 3 | 11399 | 733.03 |