Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/7760| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tojtovska, Biljana | en_US |
| dc.contributor.author | Jankovic, Svetlana | en_US |
| dc.date.accessioned | 2020-04-26T06:13:57Z | - |
| dc.date.available | 2020-04-26T06:13:57Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.citation | Biljana Tojtovska, Svetlana Jankovic: General decay stability analysis of impulsive neural networks with mixed time delays. Neurocomputing 142: 438-446 (2014) | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/7760 | - |
| dc.description.abstract | To the best of our knowledge, there are only few results on general decay stability applied to stochastic neural networks. In the paper, we study both the pth moment (p>=2) and the almost sure stability on a general decay rate for impulsive stochastic Cohen–Grossberg neural networks with mixed time delays. The presented theory allows us to study the pth moment stability even if the exponential stability cannot be valid. Some examples are given to support and illustrate the theory. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier | en_US |
| dc.relation | Partially supported by the Faculty of Computer Science and Engineering at the University “Ss. Cyril and Methodius” in Skopje, as a part of the project “Modeling and analysis of stochastic neural networks”. Supported by Grant no. 174007 of MNTRS. | en_US |
| dc.relation.ispartof | Neurocomputing | en_US |
| dc.subject | Impulsive stochastic neural networks, Moment stability, Almost sure stability, General decay function | en_US |
| dc.title | General decay stability analysis of impulsive neural networks with mixed time delays | en_US |
| dc.type | Journal Article | en_US |
| dc.identifier.doi | https://doi.org/10.1016/j.neucom.2014.04.016 | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| crisitem.author.dept | Faculty of Computer Science and Engineering | - |
| Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles | |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.