Robust stability of hopfield delayed neural networks via an augmented L-K functional

Published 2017 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Robust stability of hopfield delayed neural networks via an augmented L-K functional
Authors
Keywords
Delayed neural networks (DNNs), Linear matrix inequality, Lyapunov method, Stability analysis, Uncertainty
Journal
NEUROCOMPUTING
Volume 234, Issue -, Pages 198-204
Publisher
Elsevier BV
Online
2017-01-07
DOI
10.1016/j.neucom.2017.01.015

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.