Periodic Solutions of Cohen-Grossberg-Type BAM Neural Networks with Time-Varying Delays - International Journal of Communications, Network and System Sciences

IJCNS > Vol.5 No.12, December 2012

International Journal of Communications, Network and System Sciences

Volume 5, Issue 12 (December 2012)

ISSN Print: 1913-3715 ISSN Online: 1913-3723

Google-based Impact Factor: 0.66 Citations h5-index & Ranking

Periodic Solutions of Cohen-Grossberg-Type BAM Neural Networks with Time-Varying Delays ()

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Download as PDF (Size: 225KB) PP. 810-814

DOI: 10.4236/ijcns.2012.512085 3,201 Downloads 5,319 Views Citations

Author(s)

Qiming Liu, Shaoning Li

Affiliation(s)

College of Mathematics and Information Science, Shaanxi Normal University, Xi’an, China.
Institute of Applied Mathematics, Shijiazhuang Mechanical Engineering College, Shijiazhuang, China.

ABSTRACT

Sufficient conditions to guarantee the existence and global exponential stability of periodic solutions of a Cohen-Grossberg-type BAM neural network are established by suitable mathematical transformation.

KEYWORDS

Cohen-Grossberg Neural Networks; BAM Neural Networks; Periodic Solution; Delay; Global Stability

Share and Cite:

Q. Liu and S. Li, "Periodic Solutions of Cohen-Grossberg-Type BAM Neural Networks with Time-Varying Delays," International Journal of Communications, Network and System Sciences, Vol. 5 No. 12, 2012, pp. 810-814. doi: 10.4236/ijcns.2012.512085.

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