Stability analysis of recurrent neural networks with piecewise constant argument of generalized type.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 20605400.
- Also identified by DOI 10.1016/j.neunet.2010.05.006.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
In this paper, we apply the method of Lyapunov functions for differential equations with piecewise constant argument of generalized type to a model of recurrent neural networks (RNNs). The model involves both advanced and delayed arguments. Sufficient conditions are obtained for global exponential stability of the equilibrium point. Examples with numerical simulations are presented to illustrate the results.
Medical subject headings
- Computer Simulation
- Models, Neurological
- Neural Networks, Computer