Exponential stability of complex-valued neural networks with mixed delays

Neurocomputing

Volumn 128, Issue , 2014, Pages 483-490

  Xu, Xiaohui ^a   Zhang, Jiye ^b   Shi, Jizhong ^c  

^a XIHUA UNIVERSITY   (China)

^b SOUTHWEST JIAOTONG UNIVERSITY   (China)

^c ZHEJIANG NORMAL UNIVERSITY   (China)

Author keywords

Complex valued; Exponential stability; Mixed delays; Neural networks; Vector Lyapunov function

Indexed keywords

COMPLEX-VALUED; COMPLEX-VALUED NEURAL NETWORKS; DYNAMIC BEHAVIORS; EQUILIBRIUM POINT; MATRIX THEORY; MIXED DELAYS; MIXED TIME DELAYS; VECTOR LYAPUNOV FUNCTIONS;

ASYMPTOTIC STABILITY; COMPUTER APPLICATIONS; NEURAL NETWORKS;

LYAPUNOV FUNCTIONS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPLEX VALUED NEURAL NETWORK; DYNAMIC BEHAVIOR; MATHEMATICAL ANALYSIS; MIXED TIME DELAY; PARAMETERS; PRIORITY JOURNAL; QUANTITATIVE STUDY; TIME; VECTOR LYAPUNOV FUNCTION METHOD;

EID: 84893657576     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.08.014     Document Type: Article

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