Results 281 to 290 of about 56,788 (302)

Stability analysis of delayed cellular neural networks

Neural Networks, 1998
In this paper, the problems of stability in a class of delayed cellular neural networks (DCNN) are studied; some new stability criteria are obtained by using the Lyapunov functional method and some analysis techniques. These criteria can be used to design globally stable networks and thus have important significance in both theory and application.
Jinde Cao, Dongming Zhou
openaire   +2 more sources

Trainable Delays in Time Delay Neural Networks for Learning Delayed Dynamics

IEEE Transactions on Neural Networks and Learning Systems
In this article, the connection between time delay systems and time delay neural networks (TDNNs) is presented from a continuous-time perspective. TDNNs are utilized to learn the nonlinear dynamics of time delay systems from trajectory data. The concept of TDNN with trainable delay (TrTDNN) is established, and training algorithms are constructed for ...
Xunbi A. Ji, Gábor Orosz
openaire   +2 more sources

The passivity of neural networks with time-varying delay

2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019
This study addresses the passivity analysis of neural networks with time-varying delay. By constructing an improved Lyapunov-Krasovskii functional (LKF) and utilizing some newly integral inequalities, a further sufficient condition for the passivity of the considered system is obtained.
Jinnan Luo, Wenhong Tian, Shouming Zhong, Daixi Liao, Jun Cheng 0004, Kaibo Shi   +5 more
openaire   +1 more source

Further Results for an Estimation of Upperbound of Delays for Delayed Neural Networks

2004
In this paper, we have studied the global stability of the equilibrium of Hopfield neural networks with discrete delays. Criteria for global stability are derived by means of Lyapunov functionals and the estimates on the allowable sizes of delays are also given. Our results are better than those given in the existing literature.
Xueming Li, Xiaofeng Liao 0001, Tao Xiang 0001   +2 more
openaire   +1 more source

Dynamics of General Neural Networks with Distributed Delays

2006
The paper introduces a general class of neural networks with periodic inputs. By constructing a Lyapunov functional and the Halanay-type inequality separately, we obtain easily verifiable sufficient conditions ensuring that every solutions of the delayed neural networks converge exponentially to the unique periodic solutions.
Changyin Sun 0001, Linfeng Li
openaire   +1 more source

Deep delay rectified neural networks

The Journal of Supercomputing, 2022
Chuanhui Shan, Ao Li, Xiumei Chen
openaire   +1 more source

Stability Analysis of Uncertain Neural Networks with Delay

2004
The globally uniformly asymptotic stability of uncertain neural networks with time delay has been discussed in this paper.Using the Razumikhin-type theory and matrix analysis method, A sufficient criterion about globally asymptotic stability of the neural networks is obtained.
Zhongsheng Wang, Hanlin He, Xiaoxin Liao
openaire   +1 more source

Stability of inertial delayed neural networks with stochastic delayed impulses via matrix measure method

Neurocomputing, 2022
Qian Cui, Lulu Li, Jinde Cao
exaly  

Further study on finite-time synchronization for delayed inertial neural networks via inequality skills

Neurocomputing, 2020
Zhengqiu Zhang, Mo Chen
exaly  

Synchronization of chaotic neural networks with time delay via distributed delayed impulsive control

Neural Networks, 2019
Zhilu Xu, Dongxue Peng, Xiaodi Li
exaly