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Volume 16 Issue 1
Jan.  1994
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Zeng Huanglin. STUDIES OF DYNAMIC BEHAVIORS OF A LEARNING ASSOCIATIVE NEURAL NETWORKS[J]. Journal of Electronics & Information Technology, 1994, 16(1): 1-7.
Citation: Zeng Huanglin. STUDIES OF DYNAMIC BEHAVIORS OF A LEARNING ASSOCIATIVE NEURAL NETWORKS[J]. Journal of Electronics & Information Technology, 1994, 16(1): 1-7.

STUDIES OF DYNAMIC BEHAVIORS OF A LEARNING ASSOCIATIVE NEURAL NETWORKS

  • Received Date: 1992-09-30
  • Rev Recd Date: 1993-03-02
  • Publish Date: 1994-01-19
  • The exponential stability and trajectory bounds of the motions of equilibria of an associative neural network under structural variations while learning a new pattern are investigated. The filtering ability of the associative neural network whose input is contaminated by noise is analysed. The obtained results are expected to instruction for further studies of the learning associative neural networks.
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  • Hopfield J J. Proc[J].Nat.Acd. Sci. USA.1982, 79:2554-2559[2]Personnaz L, et al J. Statistical Phys., 1986, 43: 411-422.[3]Kosko B. Appl. Opt., 1987 26(23): 4947-4960.[4][4][5]Li J H, et al. IEEE Trans. on CAS, 1988. CAS-35(8): 976-986。Guez A, et al. IEEE Trans.on SMC, 1988. SMC-18( 1): 80-86.[6]Farrell J A, et al. IEEE Trans, on CAS, 1989, CAS-36(22):229-243.[7]Michel A N, et al. IEEE Contl. Syst. Mag: 1990, CSM-10(2):6-17.[8]Zeng Huanglin. J. Electronics. 1992, 9(2):97-104.[9]Yen G, et al. IEEE Trans. on CAS, 1991, CAS-38(10): 1193-1205.[10]Yen G, et al. IEEE Trans. on CAS. 1992. CAS (11)-39 (4): 212-225.[11]Zeng Huanglin. Stability Analysis on Continuous Neural Networks with Slowly Synapse Varying Structure. Proc. IEEE ISCAS. San Diego, Vol, 1, May 1992, 443-448.[12]曾黄麟.四川轻化工学院学报,1993, 6(2): 15-21.
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