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Title: General decay stability analysis of impulsive neural networks with mixed time delays
Authors: Tojtovska, Biljana 
Jankovic, Svetlana
Keywords: Impulsive stochastic neural networks, Moment stability, Almost sure stability, General decay function
Issue Date: 2014
Publisher: Elsevier
Source: Biljana Tojtovska, Svetlana Jankovic: General decay stability analysis of impulsive neural networks with mixed time delays. Neurocomputing 142: 438-446 (2014)
Project: 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.
Journal: Neurocomputing
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.
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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