Results 31 to 40 of about 1,813,184 (347)

Convergence analysis on inertial proportional delayed neural networks

Advances in Difference Equations, 2020
This article mainly explores a class of inertial proportional delayed neural networks. Abstaining reduced order strategy, a novel approach involving differential inequality technique and Lyapunov function fashion is presented to open out that all ...
Hong Zhang, Chaofan Qian
doaj   +1 more source

Dynamics of neural systems with discrete and distributed time delays [PDF]

, 2015
In real-world systems, interactions between elements do not happen instantaneously, due to the time required for a signal to propagate, reaction times of individual elements, and so forth.
B. Rahman, K. B. Blyuss, Kyrychko Y.N., Li X., Y. N. Kyrychko   +4 more
core   +1 more source

Synchronization of Chaotic Delayed Neural Networks via Impulsive Control

Journal of Applied Mathematics, 2014
This paper is concerned with the impulsive synchronization problem of chaotic delayed neural networks. By employing Lyapunov stability theorem, impulsive control theory and linear matrix inequality (LMI) technique, several new sufficient conditions ...
Yang Fang, Kang Yan, Kelin Li
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Finite-/fixed-time synchronization of delayed Clifford-valued recurrent neural networks

Advances in Difference Equations, 2021
This paper investigates the problem of finite-/fixed-time synchronization for Clifford-valued recurrent neural networks with time-varying delays. The considered Clifford-valued drive and response system models are firstly decomposed into real-valued ...
N. Boonsatit, G. Rajchakit, R. Sriraman, C. P. Lim, P. Agarwal   +4 more
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Tutorial: Photonic neural networks in delay systems [PDF]

Journal of Applied Physics, 2018
Photonic delay systems have revolutionized the hardware implementation of Recurrent Neural Networks and Reservoir Computing in particular. The fundamental principles of Reservoir Computing strongly facilitate a realization in such complex analog systems.
D. Brunner, B. Penkovsky, B. A. Marquez, M. Jacquot, I. Fischer, L. Larger   +5 more
openaire   +4 more sources

A new LMI condition for delay-dependent asymptotic stability of delayed Hopfield neural networks [PDF]

, 2006
In this paper, a new delay-dependent asymptotic stability condition for delayed Hopfield neural networks is given in terms of a linear matrix inequality, which is less conservative than existing ones in the literature.
Ho, DWC, Lam, J, Xu, S
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Exponential stability of delayed recurrent neural networks with Markovian jumping parameters [PDF]

, 2006
This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2006 Elsevier Ltd.In this Letter, the global exponential stability analysis problem is considered for a class of recurrent ...
Bolle, Boyd, Cao, Casey, Cleeremans, Elman, Gahinet, Gao, Gao, Gao, Huang, Ji, Kovacic, Li Yu, Liang, Skorohod, Tino, Wang, Wang, Xiaohui Liu, Yurong Liu, Zidong Wang   +21 more
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Further Exploration on Bifurcation for Fractional-Order Bidirectional Associative Memory (BAM) Neural Networks concerning Time Delay∗

Complexity, 2021
This work principally considers the stability issue and the emergence of Hopf bifurcation for a class of fractional-order BAM neural network models concerning time delays.
Nengfa Wang, Changjin Xu, Zixin Liu
doaj   +1 more source

Restrictions and Stability of Time-Delayed Dynamical Networks

, 2012
This paper deals with the global stability of time-delayed dynamical networks. We show that for a time-delayed dynamical network with non-distributed delays the network and the corresponding non-delayed network are both either globally stable or unstable.
Afraimovich V, B Z Webb, Bunimovich L, Bunimovich L, Dorogovtsev A, Horn R, L A Bunimovich, Newman M, Porter M, Porter M, Strogatz S, Tao L Ting W Shumin F, Watts D   +12 more
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Controller design for synchronization of an array of delayed neural networks using a controllable [PDF]

, 2011
This is the post-print version of the Article - Copyright @ 2011 ElsevierIn this paper, a controllable probabilistic particle swarm optimization (CPPSO) algorithm is introduced based on Bernoulli stochastic variables and a competitive penalized method ...
Cao, Chen, Chen, Clerc, Gao, Gray, Jian-an Fang, Krohling, Liang, Liang, Liang, Lu, Lu, Lü, Mendes, Pecora, Ratnaweera, Salomon, Shi, Shi, Tang, Tang, Tang, Tang, Ukhtomsky, van den Bergh, Wang, Wang, Wang, Wang, Wolpert, Wu, Yang Tang, Yao, Yu, Zhan, Zidong Wang   +36 more
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