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State estimation for delayed neural networks [PDF]

open access: yesIEEE Transactions on Neural Networks, 2005
Copyright [2005] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Ho, DWC, Liu, X, Wang, Z
core   +4 more sources

Synchronization in Fractional-Order Complex-Valued Delayed Neural Networks [PDF]

open access: yesEntropy, 2018
This paper discusses the synchronization of fractional order complex valued neural networks (FOCVNN) at the presence of time delay. Synchronization criterions are achieved through the employment of a linear feedback control and comparison theorem of ...
Weiwei Zhang   +3 more
doaj   +2 more sources

Fixed-time control of delayed neural networks with impulsive perturbations

open access: yesNonlinear Analysis, 2018
This paper is concerned with the fixed-time stability of delayed neural networks with impulsive perturbations. By means of inequality analysis technique and Lyapunov function method, some novel fixed-time stability criteria for the addressed neural ...
Jingting Hu   +3 more
doaj   +2 more sources

Delay Differential Neural Networks [PDF]

open access: yes2021 6th International Conference on Machine Learning Technologies, 2021
Neural ordinary differential equations (NODEs) treat computation of intermediate feature vectors as trajectories of ordinary differential equation parameterized by a neural network. In this paper, we propose a novel model, delay differential neural networks (DDNN), inspired by delay differential equations (DDEs).
Anumasa, Srinivas, Srijith, P. K.
openaire   +2 more sources

Comparative exploration on bifurcation behavior for integer-order and fractional-order delayed BAM neural networks

open access: yesNonlinear Analysis, 2022
In the present study, we deal with the stability and the onset of Hopf bifurcation of two type delayed BAM neural networks (integer-order case and fractional-order case).
Changjin Xu   +7 more
doaj   +1 more source

Heterogeneous delays in neural networks [PDF]

open access: yesThe European Physical Journal B, 2014
We investigate heterogeneous coupling delays in complex networks of excitable elements described by the FitzHugh-Nagumo model. The effects of discrete as well as of uni- and bimodal continuous distributions are studied with a focus on different topologies, i.e., regular, small-world, and random networks.
Cakan, Caglar   +2 more
openaire   +2 more sources

Delays in activity-based neural networks [PDF]

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2009
In this paper, we study the effect of two distinct discrete delays on the dynamics of a Wilson–Cowan neural network. This activity-based model describes the dynamics of synaptically interacting excitatory and inhibitory neuronal populations.
Coombes, Stephen, Laing, Carlo
openaire   +4 more sources

Finite-Time State Estimation for Delayed Neural Networks With Redundant Delayed Channels

open access: yesIEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
The finite-time state estimation issue is addressed in this paper for discrete time-delayed neural networks (NNs). More than one communication channel is utilized to improve the communication performance.
Zhongyi Zhao   +3 more
semanticscholar   +1 more source

Anti-periodic behavior for quaternion-valued delayed cellular neural networks

open access: yesAdvances in Difference Equations, 2021
In this manuscript, quaternion-valued delayed cellular neural networks are studied. Applying the continuation theorem of coincidence degree theory, inequality techniques and a Lyapunov function approach, a new sufficient condition that guarantees the ...
Zhenhua Duan, Changjin Xu
doaj   +1 more source

Finite-Time Stability and Stabilization of Impulsive Stochastic Delayed Neural Networks With Rous and Rons

open access: yesIEEE Access, 2020
This paper mainly tends to investigate finite-time stability and stabilization of impulsive stochastic delayed neural networks with randomly occurring uncertainties (ROUs) and randomly occurring nonlinearities (RONs).
Tao Chen   +3 more
doaj   +1 more source

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