mpulsive Cohen-Grossberg neural networks with S-type distributed delays

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dc.contributor.authorAkca, Haydar
dc.contributor.authorCovachev, Val´ery
dc.date.accessioned2022-01-06T07:24:55Z
dc.date.accessioned2023-08-19T09:16:18Z
dc.date.available2022-01-06T07:24:55Z
dc.date.available2023-08-19T09:16:18Z
dc.date.issued2010-08
dc.descriptionAn artificial neural network is an information processing paradigm that is inspired by the way of biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems.en_US
dc.description.abstractWe study impulsive Cohen-Grossberg neural networks with S-type distributed delays. This type of delays in the presence of impulses is more general than the usual types of delays studied in the literature. Using analysis techniques we prove the existence of a unique equilibrium point. By means of simple and efficient Lyapunov functions we present some sufficient conditions for the exponential stability of the equilibrium.en_US
dc.identifier.citationCovachev, H. A. V. (2011). Impulsive Cohen-Grossberg neural networks with S-type distributed delays. Tatra Mt. Math. Publ, 48, 1-13.en_US
dc.identifier.doi10.2478/v10127-011-0001-9
dc.identifier.urihttps://edms.wexl.in/handle/1/2137
dc.language.isoenen_US
dc.publisherTatra Mountains Mathematical Publicationen_US
dc.subjectCohen-Grossberg neural networksen_US
dc.subjectS-delaysen_US
dc.subjectExponential stabilityen_US
dc.titlempulsive Cohen-Grossberg neural networks with S-type distributed delaysen_US
dc.title.alternativeMathematical Institute, Slovak Academy of Sciences.en_US
dc.typeArticleen_US

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