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Abstract and Applied Analysis
Volume 2014, Article ID 634803, 8 pages
Research Article

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

1Department of Basic Courses, Lianyungang Technical College, Lianyungang, Jiangsu 222000, China
2Department of Mathematics, Huaiyin Normal University, Huaian, Jiangsu 223300, China

Received 8 February 2014; Accepted 1 April 2014; Published 22 April 2014

Academic Editor: Sabri Arik

Copyright © 2014 Yuping Cao and Chuanzhi Bai. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.