Multistability analysis of a general class of recurrent neural networks with non-monotonic activation functions and time-varying delays-Reference-Cited by-同舟云学术

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Multistability analysis of a general class of recurrent neural networks with non-monotonic activation functions and time-varying delays

Published:2016-07 Issue: Volume:79 Page:117-127
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Liu Peng,Zeng Zhigang,Wang Jun

Funder

Science and Technology Support Program of Hubei Province

Program for Science and Technology in Wuhan of China

Program for Changjiang Scholars and Innovative Research Team in University of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference36 articles.

1. Multistability and multiperiodicity of delayed Cohen–Grossberg neural networks with a general class of activation functions;Cao;Physica D: Nonlinear Phenomena,2008

2. Robust global exponential stability of Cohen–Grossberg neural networks with time delays;Chen;IEEE Transactions on Neural Networks,2004

3. Multistability in recurrent neural networks;Cheng;SIAM Journal on Applied Mathematics,2006

4. Multistability for delayed neural networks via sequential contracting;Cheng;IEEE Transactions on Neural Networks and Learning Systems,2015

5. Complete stability in multistable delayed neural networks;Cheng;Neural Computation,2009

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