Local uniform stability of competitive neural networks with different time-scales under vanishing perturbations

Neurocomputing

Volumn 73, Issue 4-6, 2010, Pages 770-775

  Meyer Base A ^a   Roberts, R ^b   Thummler V ^c  

^a FLORIDA STATE UNIVERSITY   (United States)

^b FAMU FSU COLLEGE OF ENGINEERING   (United States)

^c BIELEFELD UNIVERSITY   (Germany)

Author keywords

Gershgorin's Theorem; Local uniform stability; Multi time scale competitive neural network; Vanishing perturbations

Indexed keywords

COMPETITIVE NEURAL NETWORK; GERSHGORIN'S THEOREM; MULTI-TIME SCALE; NEURAL ACTIVITY; PARAMETRIC PERTURBATIONS; STABILITY CONDITION; TIME-SCALES; UNIFORM STABILITY; UPPER BOUND;

STABILITY; UNCERTAINTY ANALYSIS;

NEURAL NETWORKS;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; GERSHGORIN THEOREM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; NETWORK LEARNING; NONLINEAR SYSTEM; PARAMETRIC TEST; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL; STEADY STATE; TIME SERIES ANALYSIS; UNCERTAINTY;

EID: 75749123796     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.10.003     Document Type: Article

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