Nonuniform behavior and stability of Hopfield neural networks with delay
Based on a new abstract result on the behavior of nonautonomous delayed equations, we obtain a stability result for the solutions of a general discrete nonautonomous Hopfield neural network model with delay. As an application we improve some existing results on the stability of Hopfield models.
Main Author: | |
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Other Authors: | , |
Format: | article |
Language: | eng |
Published: |
2017
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Subjects: | |
Online Access: | http://hdl.handle.net/1822/46288 |
Country: | Portugal |
Oai: | oai:repositorium.sdum.uminho.pt:1822/46288 |
Summary: | Based on a new abstract result on the behavior of nonautonomous delayed equations, we obtain a stability result for the solutions of a general discrete nonautonomous Hopfield neural network model with delay. As an application we improve some existing results on the stability of Hopfield models. |
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