Journal ArticleDOI
New criterion for finite-time synchronization of fractional order memristor-based neural networks with time delay
TLDR
Based on this inequality, a new criterion for finite-time synchronization of fractional order memristor-based neural networks (FMNNs) with time delay is derived.About:
This article is published in Applied Mathematics and Computation.The article was published on 2021-01-15. It has received 60 citations till now. The article focuses on the topics: Synchronization (computer science) & Gronwall's inequality.read more
Citations
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New insight into bifurcation of fractional-order 4D neural networks incorporating two different time delays
TL;DR: In this paper , a new fractional-order 4D neural networks incorporating two different time delays is proposed and the stability and the emergence of Hopf bifurcation are explored.
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Further investigation on bifurcation and their control of fractional‐order bidirectional associative memory neural networks involving four neurons and multiple delays
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Some results on finite-time stability of stochastic fractional-order delay differential equations
Dan Yu Luo,Meng Tian,Quanxin Zhu +2 more
TL;DR: In this paper , the authors derived the equivalent form of the considered system by using the Laplace transformation and its inverse, and by defining the maximum weighted norm in Banach space and using the principle of contraction mapping, they proved that the solution of researched system is unique.
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New exploration on bifurcation in fractional-order genetic regulatory networks incorporating both type delays
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Non-separation method-based robust finite-time synchronization of uncertain fractional-order quaternion-valued neural networks
TL;DR: The robust finite-time synchronization issue is addressed for a class of uncertain fractional-order quaternion-valued neural networks by employing non-separation method instead of separation method and the settling time for robust F-TS is explicitly reckoned.
References
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Journal ArticleDOI
Neural networks and physical systems with emergent collective computational abilities
TL;DR: A model of a system having a large number of simple equivalent components, based on aspects of neurobiology but readily adapted to integrated circuits, produces a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size.
Journal ArticleDOI
The missing memristor found
TL;DR: It is shown, using a simple analytical example, that memristance arises naturally in nanoscale systems in which solid-state electronic and ionic transport are coupled under an external bias voltage.
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Memristor-The missing circuit element
TL;DR: In this article, the memristor is introduced as the fourth basic circuit element and an electromagnetic field interpretation of this relationship in terms of a quasi-static expansion of Maxwell's equations is presented.
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Cellular neural networks: theory
Leon O. Chua,L. Yang +1 more
TL;DR: In this article, a class of information processing systems called cellular neural networks (CNNs) are proposed, which consist of a massive aggregate of regularly spaced circuit clones, called cells, which communicate with each other directly through their nearest neighbors.
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