Almost periodic solutions of impulsive neural networks at non-prescribed moments of time


Yilmaz E.

NEUROCOMPUTING, cilt.141, ss.148-152, 2014 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 141
  • Basım Tarihi: 2014
  • Doi Numarası: 10.1016/j.neucom.2014.04.001
  • Dergi Adı: NEUROCOMPUTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.148-152
  • Anahtar Kelimeler: Almost periodic solution, Impulsive recurrent neural networks, Exponential stability, EXPONENTIAL STABILITY, DIFFERENTIAL-EQUATIONS, DISTRIBUTED DELAYS, EXISTENCE, SYSTEM
  • Gazi Üniversitesi Adresli: Evet

Özet

In this paper, we address a new model of neural networks related to the discontinuity phenomena which is called impulsive recurrent neural networks with variable moments of time. Sufficient conditions for existence and uniqueness of exponentially stable almost periodic solution are investigated. An example is given to illustrate our theoretical results. (C) 2014 Elsevier B.V. All rights reserved.