Stability analysis of fractional-order Hopfield neural networks with time delays.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 24819875.
- Also identified by DOI 10.1016/j.neunet.2014.03.012.
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Abstract
This paper investigates the stability for fractional-order Hopfield neural networks with time delays. Firstly, the fractional-order Hopfield neural networks with hub structure and time delays are studied. Some sufficient conditions for stability of the systems are obtained. Next, two fractional-order Hopfield neural networks with different ring structures and time delays are developed. By studying the developed neural networks, the corresponding sufficient conditions for stability of the systems are also derived. It is shown that the stability conditions are independent of time delays. Finally, numerical simulations are given to illustrate the effectiveness of the theoretical results obtained in this paper.
Medical subject headings
- Neural Networks, Computer