Robust stability of complex-valued stochastic neural networks with time-varying delays and parameter uncertainties
© 2020 by the authors. In practical applications, stochastic effects are normally viewed as the major sources that lead to the system's unwilling behaviours when modelling real neural systems. As such, the research on network models with stochastic effects is significant. In view of this, in th...
Saved in:
Main Authors: | Pharunyou Chanthorn, Grienggrai Rajchakit, Jenjira Thipcha, Chanikan Emharuethai, Ramalingam Sriraman, Chee Peng Lim, Raja Ramachandran |
---|---|
Format: | Journal |
Published: |
2020
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085523418&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70715 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Robust dissipativity analysis of hopfield-type complex-valued neural networks with time-varying delays and linear fractional uncertainties
by: Pharunyou Chanthorn, et al.
Published: (2020) -
A delay-dividing approach to robust stability of uncertain stochastic complex-valued Hopfield delayed neural networks
by: Pharunyou Chanthorn, et al.
Published: (2020) -
Discrete-time stochastic quaternion-valued neural networks with time delays: An asymptotic stability analysis
by: Ramalingam Sriraman, et al.
Published: (2020) -
Stochastic memristive quaternion-valued neural networks with time delays: An analysis on mean square exponential input-to-state stability
by: Usa Humphries, et al.
Published: (2020) -
Global mittag-leffler stability and stabilization analysis of fractional-order quaternion-valued memristive neural networks
by: Grienggrai Rajchakit, et al.
Published: (2020)