Double almost periodicity for high-order Hopfield neural networks with slight vibration in time variables-Reference-Cited by-同舟云学术

Double almost periodicity for high-order Hopfield neural networks with slight vibration in time variables

Published:2018-03 Issue: Volume:282 Page:1-15
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wang Chao,Rathinasamy Sakthivel

Funder

NSFC

Yunnan Province Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. Neural networks and physical system with emergent collective computational abilities;Hopfield;Proc. Nat. Acad. Sci.,1982

2. Mean-square exponential input-to-state stability of stochastic delayed neural networks;Zhu;Neurocomputing,2014

3. Design of state estimator for bidirectional associative memory neural networks with leakage delays;Sakthivel;Inf. Sci.,2015

4. Reliable anti-synchronization conditions for BAM memristive neural networks with different memductance functions;Sakthivel;Appl. Math. Comput.,2016

5. Combined H∞ and passivity state estimation of memristive neural networks with random gain fluctuations;Sakthivel;Neurocomputing,2015

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