140 related articles for article (PubMed ID: 17001977)
1. Global exponential stability of multitime scale competitive neural networks with nonsmooth functions.
Lu H; Amari S
IEEE Trans Neural Netw; 2006 Sep; 17(5):1152-64. PubMed ID: 17001977
[TBL] [Abstract][Full Text] [Related]
2. Local and global stability analysis of an unsupervised competitive neural network.
Meyer-Base A; Thummler V
IEEE Trans Neural Netw; 2008 Feb; 19(2):346-51. PubMed ID: 18269964
[TBL] [Abstract][Full Text] [Related]
3. An LMI approach to global asymptotic stability of the delayed Cohen-Grossberg neural network via nonsmooth analysis.
Yu W; Cao J; Wang J
Neural Netw; 2007 Sep; 20(7):810-8. PubMed ID: 17703919
[TBL] [Abstract][Full Text] [Related]
4. Improved conditions for global exponential stability of recurrent neural networks with time-varying delays.
Zeng Z; Wang J
IEEE Trans Neural Netw; 2006 May; 17(3):623-35. PubMed ID: 16722168
[TBL] [Abstract][Full Text] [Related]
5. Analysis of artificial neural networks for pattern-based adaptive control.
Sbarbaro D; Johansen TA
IEEE Trans Neural Netw; 2006 Sep; 17(5):1184-93. PubMed ID: 17001980
[TBL] [Abstract][Full Text] [Related]
6. Global robust stability of bidirectional associative memory neural networks with multiple time delays.
Senan S; Arik S
IEEE Trans Syst Man Cybern B Cybern; 2007 Oct; 37(5):1375-81. PubMed ID: 17926717
[TBL] [Abstract][Full Text] [Related]
7. Global stability of complex-valued recurrent neural networks with time-delays.
Hu J; Wang J
IEEE Trans Neural Netw Learn Syst; 2012 Jun; 23(6):853-65. PubMed ID: 24806758
[TBL] [Abstract][Full Text] [Related]
8. Global exponential stability of delayed competitive neural networks with different time scales.
Lu H; He Z
Neural Netw; 2005 Apr; 18(3):243-50. PubMed ID: 15896572
[TBL] [Abstract][Full Text] [Related]
9. Subgradient-based neural networks for nonsmooth nonconvex optimization problems.
Bian W; Xue X
IEEE Trans Neural Netw; 2009 Jun; 20(6):1024-38. PubMed ID: 19457749
[TBL] [Abstract][Full Text] [Related]
10. Multiperiodicity of discrete-time delayed neural networks evoked by periodic external inputs.
Zeng Z; Wang J
IEEE Trans Neural Netw; 2006 Sep; 17(5):1141-51. PubMed ID: 17001976
[TBL] [Abstract][Full Text] [Related]
11. Novel exponential stability criteria of high-order neural networks with time-varying delays.
Zheng CD; Zhang H; Wang Z
IEEE Trans Syst Man Cybern B Cybern; 2011 Apr; 41(2):486-96. PubMed ID: 20716505
[TBL] [Abstract][Full Text] [Related]
12. Global asymptotic stability of delayed cellular neural networks.
Zhang H; Wang Z
IEEE Trans Neural Netw; 2007 May; 18(3):947-50. PubMed ID: 17526364
[TBL] [Abstract][Full Text] [Related]
13. NDRAM: nonlinear dynamic recurrent associative memory for learning bipolar and nonbipolar correlated patterns.
Chartier S; Proulx R
IEEE Trans Neural Netw; 2005 Nov; 16(6):1393-400. PubMed ID: 16342483
[TBL] [Abstract][Full Text] [Related]
14. Multistability of neural networks with time-varying delays and concave-convex characteristics.
Zeng Z; Zheng WX
IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):293-305. PubMed ID: 24808508
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Rigorous proof of termination of SMO algorithm for support vector machines.
Takahashi N; Nishi T
IEEE Trans Neural Netw; 2005 May; 16(3):774-6. PubMed ID: 15941003
[TBL] [Abstract][Full Text] [Related]
17. Associative memory design using support vector machines.
Casali D; Costantini G; Perfetti R; Ricci E
IEEE Trans Neural Netw; 2006 Sep; 17(5):1165-74. PubMed ID: 17001978
[TBL] [Abstract][Full Text] [Related]
18. Passivity and stability analysis of reaction-diffusion neural networks with Dirichlet boundary conditions.
Wang JL; Wu HN; Guo L
IEEE Trans Neural Netw; 2011 Dec; 22(12):2105-16. PubMed ID: 22010149
[TBL] [Abstract][Full Text] [Related]
19. Lagrange stability of memristive neural networks with discrete and distributed delays.
Wu A; Zeng Z
IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):690-703. PubMed ID: 24807947
[TBL] [Abstract][Full Text] [Related]
20. A recurrent neural network for solving bilevel linear programming problem.
He X; Li C; Huang T; Li C; Huang J
IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):824-30. PubMed ID: 24807959
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]