Global stability analysis of competitive neural networks with mixed time-varying delays and discontinuous neuron activations
Authors:
- Yanqun WangYWYanqun Wang
- Lihong HuangLHLihong Huang
- 1 March 2015
- journal article
- Published by Elsevier in Neurocomputing
- Vol. 152, 85-96
Abstract
No abstract availableThis publication has 44 references indexed in Scilit:
- Existence and global stability of equilibrium point for delayed competitive neural networks with discontinuous activation functionsInternational Journal of Systems Science, 2012
- Global exponential stability of the periodic solution of delayed Cohen–Grossberg neural networks with discontinuous activationsNeurocomputing, 2010
- Global stability analysis of a general class of discontinuous neural networks with linear growth activation functionsInformation Sciences, 2009
- Dynamical behavior of delayed Hopfield neural networks with discontinuous activationsApplied Mathematical Modelling, 2009
- Almost Periodic Dynamics of a Class of Delayed Neural Networks with Discontinuous ActivationsNeural Computation, 2008
- M‐matrices and global convergence of discontinuous neural networksInternational Journal of Circuit Theory and Applications, 2006
- Dynamical Behaviors of Delayed Neural Network Systems with Discontinuous Activation FunctionsNeural Computation, 2006
- Global exponential stability of delayed competitive neural networks with different time scalesNeural Networks, 2005
- An analysis of exponential stability of delayed neural networks with time varying delaysNeural Networks, 2004
- Singular Perturbation Analysis of Competitive Neural Networks with Different Time ScalesNeural Computation, 1996