Design and Practical Stability of a New Class of Impulsive Fractional-Like Neural Networks
| dc.contributor.author | Stamov, Gani | |
| dc.contributor.author | Stamova, Ivanka | |
| dc.contributor.author | Martynyuk, Anatoliy | |
| dc.contributor.author | Stamov, Trayan | |
| dc.date.accessioned | 2021-04-19T15:18:41Z | |
| dc.date.available | 2021-04-19T15:18:41Z | |
| dc.date.issued | 2020-03-15 | |
| dc.date.updated | 2021-04-19T15:18:41Z | |
| dc.description.abstract | In this paper, a new class of impulsive neural networks with fractional-like derivatives is defined, and the practical stability properties of the solutions are investigated. The stability analysis exploits a new type of Lyapunov-like functions and their derivatives. Furthermore, the obtained results are applied to a bidirectional associative memory (BAM) neural network model with fractional-like derivatives. Some new results for the introduced neural network models with uncertain values of the parameters are also obtained. | |
| dc.description.department | Mathematics | |
| dc.identifier | doi: 10.3390/e22030337 | |
| dc.identifier.citation | Entropy 22 (3): 337 (2020) | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12588/483 | |
| dc.rights | Attribution 4.0 United States | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | neural networks | |
| dc.subject | fractional-like derivative | |
| dc.subject | impulses | |
| dc.subject | practical stability | |
| dc.subject | h-manifolds | |
| dc.title | Design and Practical Stability of a New Class of Impulsive Fractional-Like Neural Networks | |
| dc.type | Article |