Global Synchronization of Coupled Fractional-Order Recurrent Neural Networks.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 30582558.
- Also identified by DOI 10.1109/TNNLS.2018.2884620.
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Abstract
This paper presents new theoretical results on the global synchronization of coupled fractional-order recurrent neural networks. Under the assumptions that the coupled fractional-order recurrent neural networks are sequentially connected in form of a single spanning tree or multiple spanning trees, two sets of sufficient conditions are derived for ascertaining the global synchronization by using the properties of Mittag-Leffler function and stochastic matrices. Compared with existing works, the results herein are applicable for fractional-order systems, which could be viewed as an extension of integer-order ones. Two numerical examples are presented to illustrate the effectiveness and characteristics of the theoretical results.
Medical subject headings
- Neural Networks, Computer