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Volumn 15, Issue 1, 2002, Pages 95-103

A new approach to stability of neural networks with time-varying delays

Author keywords

Exponential stability; Hopfield type neural networks; Minimal Lipschitz constant; Nonlinear Lipschitz measure; Time varying delay

Indexed keywords

FUNCTIONS; OPTIMIZATION; STABILITY;

EID: 0036125925     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(01)00095-8     Document Type: Article
Times cited : (92)

References (19)
  • 12
    • 0026679036 scopus 로고
    • Stability conditions for nonlinear continuous neural networks with asymmetric connection weights
    • (1992) Neural Networks , vol.5 , pp. 495-500
    • Matsuoka, K.1
  • 13
    • 0020159810 scopus 로고
    • On an estimate of the decay rate for stable linear delay systems
    • (1982) Int. J. Contr. , vol.36 , Issue.1 , pp. 95-97
    • Mori, T.1
  • 17
    • 0021568995 scopus 로고
    • On nonlinear difference and differential equations
    • (1984) BIT , vol.24 , pp. 667-680
    • Soderlind, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.