Boundedness and complete stability of complex-valued neural networks with time delay.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 24808563.
- Also identified by DOI 10.1109/TNNLS.2013.2247626.
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Abstract
In this paper, the boundedness and complete stability of complex-valued neural networks (CVNNs) with time delay are studied. Some conditions to guarantee the boundedness of the CVNNs are derived using local inhibition. Moreover, under the boundedness conditions, a compact set that globally attracts all the trajectories of the network is also given. Additionally, several conditions in terms of real-valued linear matrix inequalities (LMIs) for complete stability of the CVNNs are established via the energy minimization method and the approach that converts the complex-valued LMIs to real-valued ones. Examples with simulation results are given to show the effectiveness of the theoretical analysis.
Medical subject headings
- Algorithms
- Computer Simulation
- Neural Networks, Computer