• Reference Citation Analysis
  • v
  • v
  • Find an Article
Find an Article PDF (4618910)   Today's Articles (956)   Subscriber (49402)
For: Sun G, Zhang Y. Exponential stability of impulsive discrete-time stochastic BAM neural networks with time-varying delay. Neurocomputing 2014;131:323-30. [DOI: 10.1016/j.neucom.2013.10.010] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Number Cited by Other Article(s)
1
Pang L, Hu C, Yu J, Wang L, Jiang H. Fixed/preassigned-time synchronization for impulsive complex networks with mismatched parameters. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
2
Jia S, Chen Y. Discrete analogue of impulsive recurrent neural networks with both discrete and finite distributive asynchronous time-varying delays. Cogn Neurodyn 2022;16:733-744. [PMID: 35603055 PMCID: PMC9120330 DOI: 10.1007/s11571-021-09739-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 10/12/2021] [Accepted: 10/21/2021] [Indexed: 11/29/2022]  Open
3
Fixed-Time Synchronization for Fuzzy-Based Impulsive Complex Networks. MATHEMATICS 2022. [DOI: 10.3390/math10091533] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
4
Exponential synchronization of multiple impulsive discrete-time memristor-based neural networks with stochastic perturbations and time-varying delays. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2020.01.110] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
5
Lagrange Stability for Delayed-Impulses in Discrete-Time Cohen–Grossberg Neural Networks with Delays. Neural Process Lett 2020. [DOI: 10.1007/s11063-020-10190-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
6
Li L, Wang X, Li C, Feng Y. Exponential Synchronizationlike Criterion for State-Dependent Impulsive Dynamical Networks. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2019;30:1025-1033. [PMID: 30106694 DOI: 10.1109/tnnls.2018.2854826] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
7
Zhou Y, Li C, Wang H. Stability analysis on state-dependent impulsive Hopfield neural networks via fixed-time impulsive comparison system method. Neurocomputing 2018. [DOI: 10.1016/j.neucom.2018.07.047] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
8
Kan X, Liang J, Liu Y, Alsaadi FE. Robust H∞ state estimation for BAM neural networks with randomly occurring uncertainties and sensor saturations. Neurocomputing 2018. [DOI: 10.1016/j.neucom.2018.05.062] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
9
Exponential synchronization of discrete-time impulsive dynamical networks with time-varying delays and stochastic disturbances. Neurocomputing 2018. [DOI: 10.1016/j.neucom.2018.04.070] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
10
Global Asymptotic Stability of Periodic Solutions for Discrete Time Delayed BAM Neural Networks by Combining Coincidence Degree Theory with LMI Method. Neural Process Lett 2018. [DOI: 10.1007/s11063-018-9909-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
11
Lin Y, Zhang Y. Synchronization of stochastic impulsive discrete-time delayed networks via pinning control. Neurocomputing 2018. [DOI: 10.1016/j.neucom.2018.01.052] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
12
Wan L, Wu A. Multistability in Mittag-Leffler sense of fractional-order neural networks with piecewise constant arguments. Neurocomputing 2018. [DOI: 10.1016/j.neucom.2018.01.049] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
13
Li L, Li C. Discrete Analogue for a Class of Impulsive Cohen–Grossberg Neural Networks with Asynchronous Time-Varying Delays. Neural Process Lett 2018. [DOI: 10.1007/s11063-018-9819-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
14
Liu L, Wu A, Zeng Z, Huang T. Global mean square exponential stability of stochastic neural networks with retarded and advanced argument. Neurocomputing 2017. [DOI: 10.1016/j.neucom.2017.03.057] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
15
Li J, Zhou W, Yang Z. State estimation and input-to-state stability of impulsive stochastic BAM neural networks with mixed delays. Neurocomputing 2017. [DOI: 10.1016/j.neucom.2016.08.101] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
16
Zhou L, Liu X. Mean-square exponential input-to-state stability of stochastic recurrent neural networks with multi-proportional delays. Neurocomputing 2017. [DOI: 10.1016/j.neucom.2016.09.038] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
17
Wu A, Zeng Z, Song X. Global Mittag–Leffler stabilization of fractional-order bidirectional associative memory neural networks. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2015.11.055] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
PrevPage 1 of 1 1Next
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA