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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 1993, Vol. 14 ›› Issue (11): 596-600.

• 论文 • Previous Articles     Next Articles

ERROR-CORRECTING CODES AND NEURAL NETWORKS

Xiu da-zhuan, Wang Yong-chen   

  1. Faculty 402, Naning University of Aero, and Astro., Naning, 210016
  • Received:1992-01-03 Revised:1992-12-23 Online:1993-11-25 Published:1993-11-25

Abstract: In this paper, Bruck and Blaum's conclusions are generalized in two aspects. On the one band, the maximum likelihood decoding of linear block codes in the soft-decision condition is proved to be equivalent to making a neural network converge to a globe stable state of the energy function. On the other hand, we construct such an associative memory neural network for a linear block code in GF(p) that each codeword of the code is respctive to a globe maximum point of the energy function of the neural network.

Key words: information theory, digital communication, error-correcting code, maximum likelihood decoding, neural network, associative memory