Global dissipativity of memristor-based neutral type inertial neural networks-Reference-Cited by-同舟云学术

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Global dissipativity of memristor-based neutral type inertial neural networks

Published:2017-04 Issue: Volume:88 Page:125-133
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Tu Zhengwen^ORCID,Cao Jinde^ORCID,Alsaedi Ahmed,Alsaadi Fuad^ORCID

Funder

National Natural Science Foundation of China

“333 Engineering” Foundation of Jiangsu Province of China

Scientific and Technological Research Program of Chongqing Municipal Education Commission

Natural Science Foundation Project of CQ

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference57 articles.

1. Global convergence and suppression of spurious states of the Hopfield neural networks;Abe;IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications,1993

2. Models of membrane resonance in pigeon semicircular canal type II hair cells;Angelaki;Biological Cybernetics,1991

3. An analysis of stability of neutral-type neural systems with constant time delays;Arik;Journal of the Franklin Institute,2014

4. Models for electrical tuning in hair cells;Ashmore;Proceedings of the Royal Society of London B: Biological Sciences,1985

5. Stability and dynamics of simple electronic neural networks with added inertia;Babcock;Physica D,1986

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