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On memory capacity of the Probabilistic Logic Neuron network

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Abstract

In this paper, the memory capacity of Probabilistic Logic Neuron (PLN) network is discussed. We obtain two main results: (1) the method for constructing a PLN network with a given memory capacity; (2) the relationship between the memory capacity and the size of a PLN network. We show that the memory capacity of a PLN network depends on not only the number of input ports of its element but also the number of elements themselves. The results provide a new method for designing a PLN network.

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References

  1. [1]

    Bo Zhang, Ling Zhanget al., The Quantitative Analysis of the Behaviors of the PLN Network, Neural Network, vol.5, 1992, Pergamon Press, pp. 639–644.

  2. [2]

    Bo Zhang, Ling Zhanget al., The Complexity of Learning Algorithm in PLN Network, International Joint Conference on Neuron Network, Singapore, Nov. 1991.

  3. [3]

    I. Aleksander, The Logic of Connectional Systems, in Neural Computing Architecture, MA: MIT Press, 1989.

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Author information

Correspondence to Bo Zhang.

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Zhang, B., Zhang, L. On memory capacity of the Probabilistic Logic Neuron network. J. of Compt. Sci. & Technol. 8, 252–256 (1993). https://doi.org/10.1007/BF02939532

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Keywords

  • PLN network
  • memory capacity