Stability and Hopf bifurcation analysis of fractional-order complex-valued neural networks with time delays
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Stability and Hopf bifurcation analysis of fractional-order complex-valued neural networks with time delays
Authors
Keywords
Hopfield neural networks, fractional-order, time delays, hub structure, ring structure, stability, Hopf bifurcation
Journal
Advances in Difference Equations
Volume 2017, Issue 1, Pages -
Publisher
Springer Nature
Online
2017-08-04
DOI
10.1186/s13662-017-1266-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay
- (2017) G. Velmurugan et al. NEURAL NETWORKS
- Active control strategy for synchronization and anti-synchronization of a fractional chaotic financial system
- (2017) Chengdai Huang et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Hybrid control on bifurcation for a delayed fractional gene regulatory network
- (2016) Chengdai Huang et al. CHAOS SOLITONS & FRACTALS
- Global dissipativity of fractional-order neural networks with time delays and discontinuous activations
- (2016) Zhixia Ding et al. NEUROCOMPUTING
- Exponential H ∞ filtering analysis for discrete-time switched neural networks with random delays using sojourn probabilities
- (2016) JinDe Cao et al. Science China-Technological Sciences
- Stability analysis of fractional-order complex-valued neural networks with time delays
- (2015) R. Rakkiyappan et al. CHAOS SOLITONS & FRACTALS
- Dissipativity analysis of memristor-based complex-valued neural networks with time-varying delays
- (2015) Xiaodi Li et al. INFORMATION SCIENCES
- Delay-induced bifurcation in a tri-neuron fractional neural network
- (2015) Chengdai Huang et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Further analysis of global μ-stability of complex-valued neural networks with unbounded time-varying delays
- (2015) G. Velmurugan et al. NEURAL NETWORKS
- Robust consensus of fractional-order multi-agent systems with positive real uncertainty via second-order neighbors information
- (2015) Chao Song et al. NEUROCOMPUTING
- Existence and Uniform Stability Analysis of Fractional-Order Complex-Valued Neural Networks With Time Delays
- (2015) R. Rakkiyappan et al. IEEE Transactions on Neural Networks and Learning Systems
- Undamped Oscillations Generated by Hopf Bifurcations in Fractional-Order Recurrent Neural Networks With Caputo Derivative
- (2015) Min Xiao et al. IEEE Transactions on Neural Networks and Learning Systems
- Hopf bifurcation control for a fluid flow model of internet congestion control systems via state feedback
- (2014) Wenying Xu et al. IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION
- Stability Analysis of Fractional-Order Neural Networks with Time Delay
- (2014) Hu Wang et al. NEURAL PROCESSING LETTERS
- Dynamics in fractional-order neural networks
- (2014) Chao Song et al. NEUROCOMPUTING
- Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays
- (2014) R. Rakkiyappan et al. NEUROCOMPUTING
- Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with time delays
- (2014) R. Rakkiyappan et al. NONLINEAR DYNAMICS
- Synchronization of a Class of Fractional-Order Chaotic Neural Networks
- (2013) Liping Chen et al. Entropy
- Nonlinear dynamics and chaos in fractional-order neural networks
- (2012) Eva Kaslik et al. NEURAL NETWORKS
- Stability of Hopfield neural networks with time delays and variable-time impulses
- (2011) Chao Liu et al. NEURAL COMPUTING & APPLICATIONS
- Routing Traffic at Hub Facilities
- (2008) Morton E. O’Kelly NETWORKS & SPATIAL ECONOMICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More