New delay-interval-dependent stability criteria for static neural networks with time-varying delays-Reference-Cited by-同舟云学术

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New delay-interval-dependent stability criteria for static neural networks with time-varying delays

Published:2016-04 Issue: Volume:186 Page:1-7
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Senthilraj S.,Raja R.,Zhu Quanxin,Samidurai R.,Yao Zhangsong

Funder

Department of Science and Technology (DST), Government of India, New Delhi

National Natural Science Foundation of China

Alexander von Humboldt Foundation of Germany

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. Neural Networks: a Comprehensive Foundation;Haykin,1998

2. Neural Networks for Optimization and Signal Processing;Cichocki,1993

3. An analysis of exponential stability of delayed neural networks with time varying delays;Arik;Neural Netw.,2004

4. Stability analysis of mixed recurrent neural networks with time delay in the leakage term under impulsive perturbations;Wang;Neurocomputing,2013

5. On the robust stability of time-varying uncertain genetic regulatory networks;Chesi;Int. J. Robust Nonlinear Control,2011

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