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Neural Processing Letters
Erschienen in: Neural Processing Letters 3/2015

01.12.2015

Bifurcation Behavior for an Electronic Neural Network Model with Two Different Delays

verfasst von: Changjin Xu, Yuanfu Shao, Peiluan Li

Erschienen in: Neural Processing Letters | Ausgabe 3/2015

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Abstract

In this paper, an electronic neural network model with two different delays is investigated. The conditions for the local stability and the existence of Hopf bifurcation at the equilibrium of the system are derived. By applying the normal form theory and center manifold theory, some explicit formulae for determining the stability and the direction of the Hopf bifurcation periodic solutions are obtained. Numerical simulations for justifying the theoretical analysis are also included. Finally, main conclusions are given.
Vorheriger Artikel Passivity Analysis of Memristor-Based Complex-Valued Neural Networks with Time-Varying Delays
Nächster Artikel Adaptive Finite-Time Complete Periodic Synchronization of Memristive Neural Networks with Time Delays

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Metadaten
Titel
Bifurcation Behavior for an Electronic Neural Network Model with Two Different Delays
verfasst von
Changjin Xu
Yuanfu Shao
Peiluan Li
Publikationsdatum
01.12.2015
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 3/2015
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-014-9372-7

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