[1] S. Arik and Z. Orman, Global stability analysis of Cohen-Grossberg
neural networks with time varying delays, Phys. Lett. A 341 (2005),
410-421.
[2] S. Arik and V. Tavanoglu, On the global asymptotic stability of
delayed cellular neural networks, IEEE Trans. Circuits Systems-I 47
(2000), 571-574.
[3] A. Berman and R. J. Plemmons, Nonnegative Matrices in Mathematical
Sciences, Academic Press, New York, 1979.
[4] J. Cao and J. Liang, Boundedness and stability for Cohen-Grossberg
neural network with time-varying delays, J. Math. Anal. Appl. 296
(2004), 665-685.
[5] J. Cao, Global asymptotic stability of delayed bi-directional
associative memory neural networks, Appl. Math. Comput. 142 (2003),
333-339.
[6] J. Cao and M. Dong, Exponential stability of delayed
bi-directional associative memory networks, Appl. Math. Comput. 135
(2003), 105-112.
[7] J. Cao, A set of stability criteria for delayed cellular neural
networks, IEEE Trans. Circuits Systems I 48 (2001), 494-498.
[8] J. Cao, Global exponential stability of Hopfield neural networks,
Int. J. Systems Sci. 32(2) (2001), 233-236.
[9] T. Chen, Global exponential stability of delayed Hopfield
networks, Neural Networks 14(8) (2001), 977-980.
[10] L. O. Chua and L. Yang, Cellular neural networks: Applications,
IEEE Trans. Circuits Systems 35 (1988), 1273-1290.
[11] L. O. Chua and L. Yang, Cellular neural networks: Theory, IEEE
Trans. Circuits Systems 35 (1988), 1257-1272.
[12] M. Cohen and S. Grossberg, Absolute stability and global pattern
formation and parallel memory storage by competitive neural networks,
IEEE Trans. Syst. Man Cybern 13 (1983), 815-826.
[13] K. Gopalsamy and X. He, Delay-independent stability in
bi-directional associative memory networks, IEEE Trans. Neural
Networks 5 (1994), 998-1002.
[14] J. J. Hopfield, Neurons with graded response have collective
computational properties like those of two-stage neurons, Proc. Nat.
Acad. Sci.-Biol. 81 (1984), 3088-3092.
[15] C. Hwang, C. Cheng and T. Liao, Globally exponential stability of
generalized Cohen-Grossberg neural networks with delays, Phys. Lett. A
319 (2003), 157-166.
[16] H. Jiang, J. Cao and Z. Teng, Dynamics of Cohen-Grossberg neural
networks with time-varying delays, Phys. Lett. A 354 (2006),
414-422.
[17] M. Jiang, Y. Shen and X. Liao, Boundedness and global exponential
stability for generalized Cohen-Grossberg neural networks with
variable delay, Appl. Math. Comp. 172 (2006), 379-393.
[18] B. Kosko, in: Neural Networks and Fuzzy Systems-A Dynamical
System Approach Machine Intelligence, Prentice Hall, Englewood Cliffs,
NJ, (1992), 38-108.
[19] B. Kosko, Bi-directional associative memories, IEEE Trans. Syst.
Man Cybernet 18 (1988), 49-60.
[20] X. Liao, C. Li and K. Wong, Criteria for exponential stability of
Cohen-Grossberg neural networks, Neural Networks 17 (2004),
1401-1414.
[21] J. Liu, Global exponential stability of Cohen-Grossberg neural
networks with time-varying delays, Chaos, Solitons & Fractals 26
(2005), 935-945.
[22] A. Michel, J. A. Farrell and W. Porod, Qualitative analysis of
neural networks, IEEE Trans. Circuits Systems 36 (1989), 229-243.
[23] S. Mohamad and K. Gopalsamy, Exponential stability of
continuous-time and discrete-time cellular neural networks, Appl.
Math. Comput. 135 (2003), 17-38.
[24] S. Mohamad, Global exponential stability in continuous-time and
discrete-time delayed bi-directional neural networks, Physica D 159
(2001), 233-251.
[25] V. S. H. Rao and Bh. R. M. Phaneendra, Global dynamics of
bi-directional associative memory neural networks involving
transmission delays and dead zones, Neural Networks 12 (1999),
455-465.
[26] D. D. Siljak, Large-Scale Dynamic Systems-Stability and
Structure, Elsevier, North-Holland, New York, 1978.
[27] Q. Song and J. Cao, Stability analysis of Cohen-Grossberg neural
network with both time-varying and continuously distributed delays, J.
Comp. Appl. Math. 197 (2006) 188-203.
[28] A. Wan, H. Qiao, J. Peng and M. Wang, Delay-independent criteria
for exponential stability of generalized Cohen-Grossberg neural
networks with discrete delays, Phys. Lett. A 353(2-3) (2006),
151-157.
[29] A. Wan, M. Wang, J. Peng and H. Qiao, Exponential stability of
Cohen-Grossberg neural networks with a general class of activation
functions, Phys. Lett. A 350 (2006), 96-102.
[30] A. Wan, J. Peng and M. Wang, Exponential stability of a class of
generalized neural networks with time-varying delays, Neurocomputing
69(7-9) (2006), 959-963.
[31] L. Wang and D. Xu, Stability of Hopfield neural networks with
time delays, J. Vibration Control 8(1) (2002), 13-18.
[32] K. Yuan and J. Cao, An analysis of global asymptotic stability of
delayed Cohen-Grossberg neural networks via nonsmooth analysis, IEEE
Trans. Circuits and Systems I 52(9) (2005), 1854-1861.
[33] J. Zhang, Y. Suda and H. Komine, Global exponential stability of
Cohen-Grossberg neural networks with variable delays, Phys. Lett. A
338 (2005), 44-55.
[34] J. Zhang, Global stability analysis in delayed cellular networks,
Comput. Math. Appl. 45(10-11) (2003), 1707-1720.
[35] Q. Zhang, X. Wei and J. Xu, Global asymptotic stability analysis
of delayed neural networks with time-varying delays, Neural Process.
Lett. 21(1) (2005), 61-71.
[36] Q. Zhang, X. Wei and J. Xu, Global exponential convergence
analysis of delayed neural networks with time-varying delays, Phys.
Lett. A 318(6) (2003), 537-544.
[37] H. Zhao, Exponential stability and periodic oscillatory of
bi-directional associative memory neural network involving delays,
Neurocomputing 69 (2006), 424-448.
[38] H. Zhao and J. Cao, New conditions for global exponential
stability of cellular neural networks with delays, Neural Networks 18
(2005), 1332-1340.
[39] H. Zhao and G. Wang, Delay-independent exponential stability of
recurrent neural networks, Phys. Lett. A 333 (2004), 399-407.