Dynamic analysis of a class of fractional-order neural networks with delay

A class of fractional-order neural networks with delay is discussed in this paper, a sufficient condition is established for the uniform stability of such network. Moreover, the existence, uniqueness and stability of its equilibrium point are also proved. A numerical example is presented to demonstr...

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Bibliographic Details
Published inNeurocomputing (Amsterdam) Vol. 111; pp. 190 - 194
Main Authors Chen, Liping, Chai, Yi, Wu, Ranchao, Ma, Tiedong, Zhai, Houzhen
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 02.07.2013
Elsevier
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Connectionism. Neural networks
Delay
Exact sciences and technology
Fractional-order neural networks
Uniform stability
Delay
Fractional-order neural networks
Uniform stability
Stability
Dynamic analysis
Feasibility
Delay system
Neural network
Fractional derivative
Equilibrium point
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ISSN0925-2312
1872-8286
DOI10.1016/j.neucom.2012.11.034

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Summary:A class of fractional-order neural networks with delay is discussed in this paper, a sufficient condition is established for the uniform stability of such network. Moreover, the existence, uniqueness and stability of its equilibrium point are also proved. A numerical example is presented to demonstrate the validity and feasibility of the proposed results.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2012.11.034