Convergence of asymptotic systems of non-autonomous neural network models with infinite distributed delays

In this paper we investigate the global convergence of solutions of non-autonomous Hopfield neural network models with discrete time-varying delays, infinite distributed delays, and possible unbounded coefficient functions. Instead of using Lyapunov functionals, we explore intrinsic features between...

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Bibliographic Details
Main Author: Oliveira, José J. (author)
Format: article
Language:eng
Published: 2017
Subjects:
Neural networks
Unbounded coefficients
Bounded coefficients
Infinite distributed delays
Boundedness
Global convergence
Asymptotic systems
Ciências Naturais::Matemáticas
Science & Technology
Online Access:http://hdl.handle.net/1822/46289
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/46289

Internet

http://hdl.handle.net/1822/46289

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