These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
170 related articles for article (PubMed ID: 26639054)
1. Global exponential periodicity and stability of recurrent neural networks with multi-proportional delays. Zhou L; Zhang Y ISA Trans; 2016 Jan; 60():89-95. PubMed ID: 26639054 [TBL] [Abstract][Full Text] [Related]
2. Matrix measure method for global exponential stability of complex-valued recurrent neural networks with time-varying delays. Gong W; Liang J; Cao J Neural Netw; 2015 Oct; 70():81-9. PubMed ID: 26264171 [TBL] [Abstract][Full Text] [Related]
3. Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays. Chen B; Wang J Neural Netw; 2007 Dec; 20(10):1067-80. PubMed ID: 17881187 [TBL] [Abstract][Full Text] [Related]
4. Analysis of global exponential stability and periodic solutions of neural networks with time-varying delays. Huang H; Ho DW; Cao J Neural Netw; 2005 Mar; 18(2):161-70. PubMed ID: 15795113 [TBL] [Abstract][Full Text] [Related]
5. Periodicity and global exponential stability of generalized Cohen-Grossberg neural networks with discontinuous activations and mixed delays. Wang D; Huang L Neural Netw; 2014 Mar; 51():80-95. PubMed ID: 24406667 [TBL] [Abstract][Full Text] [Related]
6. Global exponential periodicity of a class of recurrent neural networks with oscillating parameters and time-varying delays. Chen B; Wang J IEEE Trans Neural Netw; 2005 Nov; 16(6):1440-8. PubMed ID: 16342486 [TBL] [Abstract][Full Text] [Related]
7. Existence and global exponential stability of almost periodic solution for cellular neural networks with variable coefficients and time-varying delays. Jiang H; Zhang L; Teng Z IEEE Trans Neural Netw; 2005 Nov; 16(6):1340-51. PubMed ID: 16342479 [TBL] [Abstract][Full Text] [Related]
8. Global exponential stability of generalized recurrent neural networks with discrete and distributed delays. Liu Y; Wang Z; Liu X Neural Netw; 2006 Jun; 19(5):667-75. PubMed ID: 16046098 [TBL] [Abstract][Full Text] [Related]
9. Analysis of global O(t(-α)) stability and global asymptotical periodicity for a class of fractional-order complex-valued neural networks with time varying delays. Rakkiyappan R; Sivaranjani R; Velmurugan G; Cao J Neural Netw; 2016 May; 77():51-69. PubMed ID: 26922720 [TBL] [Abstract][Full Text] [Related]
10. Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays. Hu J; Wang J Neural Netw; 2015 Jun; 66():119-30. PubMed ID: 25839167 [TBL] [Abstract][Full Text] [Related]
11. Global exponential stability of inertial memristor-based neural networks with time-varying delays and impulses. Zhang W; Huang T; He X; Li C Neural Netw; 2017 Nov; 95():102-109. PubMed ID: 28938129 [TBL] [Abstract][Full Text] [Related]
12. Global exponential stability of complex-valued neural networks with both time-varying delays and impulsive effects. Song Q; Yan H; Zhao Z; Liu Y Neural Netw; 2016 Jul; 79():108-16. PubMed ID: 27136664 [TBL] [Abstract][Full Text] [Related]
13. Robustness analysis of global exponential stability of recurrent neural networks in the presence of time delays and random disturbances. Shen Y; Wang J IEEE Trans Neural Netw Learn Syst; 2012 Jan; 23(1):87-96. PubMed ID: 24808458 [TBL] [Abstract][Full Text] [Related]
14. Existence and uniqueness of pseudo almost-periodic solutions of recurrent neural networks with time-varying coefficients and mixed delays. Ammar B; Chérif F; Alimi AM IEEE Trans Neural Netw Learn Syst; 2012 Jan; 23(1):109-18. PubMed ID: 24808460 [TBL] [Abstract][Full Text] [Related]
15. Existence and stability of pseudo almost periodic solutions for shunting inhibitory cellular neural networks with neutral type delays and time-varying leakage delays. Xu C; Zhang Q; Wu Y Network; 2014; 25(4):168-92. PubMed ID: 25387161 [TBL] [Abstract][Full Text] [Related]
16. Global exponential stability of neural networks with time-varying delay based on free-matrix-based integral inequality. He Y; Ji MD; Zhang CK; Wu M Neural Netw; 2016 May; 77():80-86. PubMed ID: 26945439 [TBL] [Abstract][Full Text] [Related]
17. Novel stability analysis for recurrent neural networks with multiple delays via line integral-type L-K functional. Liu Z; Zhang H; Zhang Q IEEE Trans Neural Netw; 2010 Nov; 21(11):1710-8. PubMed ID: 21047705 [TBL] [Abstract][Full Text] [Related]
18. Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances. Luo W; Zhong K; Zhu S; Shen Y Neural Netw; 2014 May; 53():127-33. PubMed ID: 24613807 [TBL] [Abstract][Full Text] [Related]
19. Almost sure exponential stability of recurrent neural networks with Markovian switching. Shen Y; Wang J IEEE Trans Neural Netw; 2009 May; 20(5):840-55. PubMed ID: 19403371 [TBL] [Abstract][Full Text] [Related]
20. Synchronization of Memristor-Based Coupling Recurrent Neural Networks With Time-Varying Delays and Impulses. Zhang W; Li C; Huang T; He X IEEE Trans Neural Netw Learn Syst; 2015 Dec; 26(12):3308-13. PubMed ID: 26054076 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]