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Volume 22 Issue 6
Nov.  2000
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Wang Yan, Liao Xiaofeng, Wu Zhongfu, Yu Juebang . STUDY OF BIFURCATION PHENOMENON FOR A NEURAL NETWORK WITH TIME DELAY[J]. Journal of Electronics & Information Technology, 2000, 22(6): 972-977.
Citation: Wang Yan, Liao Xiaofeng, Wu Zhongfu, Yu Juebang . STUDY OF BIFURCATION PHENOMENON FOR A NEURAL NETWORK WITH TIME DELAY[J]. Journal of Electronics & Information Technology, 2000, 22(6): 972-977.

STUDY OF BIFURCATION PHENOMENON FOR A NEURAL NETWORK WITH TIME DELAY

  • Received Date: 1998-04-24
  • Rev Recd Date: 1999-06-25
  • Publish Date: 2000-11-19
  • In this paper, Hopf bifurcation of a neural network with time delay is discussed in detail. The stability of periodic solutions is also studied by utilizing center manifold theorem. Algorithms for determining the asymptotic stability, direction of bifurcation, period, and asymptotic form of these solutions are presented. All of the theoretical analyses are testified by computer simulations.
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  • Hopfield J J. Neurons with graded response have collective computational properties like those of two state neurons[J].Proceeding of Natural Academy Science of USA.1984, 81(10):3088-3092[2]Chua L O, Roska T. The CNN paradigm. IEEE Trans. on Circuits and Systems, 1993, CAS-40(3):147-156.[3]Baldi P, Atiya A F. How delays affect neural dynamics and learning. IEEE Trans. on Neural Networks, 1994, NN-5(4): 612-621.[4]Civalleri P P, Gilli M, Pandolfi L. On stability of cellular neural networks with delay. IEEE Trans.on Circuits and Systems, 1993, CAS-40(3): 157-165.[5]Liao X F, Yu J B. Qualitative analysis of bi-directional associative memory with time delay[J].International Journal of Circuit Theory and Applications.1998, 26(2):219-2293.0.CO;2-I' target='_blank'>[6]Liao X, Liu G Y, Yu J B. Stability analysis of BAM with time delay. Journal of Electronics(China), 1997,14(4): 345-351.[7]Liao X F.[J].Yu J B. Stability analysis of Bi-directional associative memory with axonal signal transmission delays. ICSP96, Beijing, China.1457,1996:-[8]Zhang Y. Global exponential stability and periodic solutions of delay Hopfield neural networks[J].International Journal of Systems Science.1996, 27(2):227-231[9]Zhang Y, Zhong S M, Li Z L. Periodic solutions and stability of Hopfield neural networks with variable delays[J].International Journal of Systems Science.1996, 27(9):895-901[10]Gopalsamy K, Leung I K C. Convergence under dynamical thresholds with delays. IEEE Trans.on Neural Networks., 1997, NN-8(2): 341-348.[11]Zou F, Nossek J A. Bifurcation and chaos in cellular neural networks. IEEE Trans. on Circuits and Systems, 1993, CAS-40(3): 166-173.[12]Hassard B D, Kazarinoff N D, Wan Y H. Theory and Applications of Hopf Bifurcation. Cambridge: Cambridge Univ. Press, 1981.
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