Global asymptotic stability of hybrid bidirectional associative memory neural networks with time delays

Arik S.

PHYSICS LETTERS A, cilt.351, ss.85-91, 2006 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 351
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1016/j.physleta.2005.10.059
  • Dergi Adı: PHYSICS LETTERS A
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.85-91
  • İstanbul Üniversitesi Adresli: Evet

Özet

This Letter presents a sufficient condition for the existence, uniqueness and global asymptotic stability of the equilibrium point for bidirectional associative memory (BAM) neural networks with distributed time delays. The results impose constraint conditions on the network parameters of neural system independently of the delay parameter, and they are applicable to all bounded continuous non-monotonic neuron activation functions. The results are also compared with the previous results derived in the literature. (c) 2005 Elsevier B.V. All rights reserved.