Dynamic behaviors of memristor-based recurrent neural networks with time-varying delays.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 23037770.
- Also identified by DOI 10.1016/j.neunet.2012.08.009.
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Abstract
The paper introduces a general class of memristor-based recurrent neural networks with time-varying delays. Conditions on the nondivergence and global attractivity are established by using local inhibition, respectively. Moreover, exponential convergence of the networks is studied by using local invariant sets. The analysis in the paper employs results from the theory of differential equations with discontinuous right-hand sides as introduced by Filippov. The obtained results extend some previous works on conventional recurrent neural networks.
Medical subject headings
- Algorithms
- Computer Storage Devices
- Neural Networks, Computer