Finite‐Time Stability of Fractional‐Order BAM Neural Networks with Distributed Delay

Yuping Cao and Chuanzhi Bai

Abstract and Applied Analysis, 2014, vol. 2014, issue 1

Abstract: Based on the theory of fractional calculus, the generalized Gronwall inequality and estimates of mittag‐Leffer functions, the finite‐time stability of Caputo fractional‐order BAM neural networks with distributed delay is investigated in this paper. An illustrative example is also given to demonstrate the effectiveness of the obtained result.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1155/2014/634803

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:634803

Access Statistics for this article

More articles in Abstract and Applied Analysis from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().