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Volume 10 Issue 2
March  1995
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Shuai Dianxun. High-Order Two-Dimension Cluster Competitive Activation Mechanisms Used for Performing Symbolic Logic Algorithms of Problem Solving[J]. Journal of Computer Science and Technology, 1995, 10(2): 124-133.
Citation: Shuai Dianxun. High-Order Two-Dimension Cluster Competitive Activation Mechanisms Used for Performing Symbolic Logic Algorithms of Problem Solving[J]. Journal of Computer Science and Technology, 1995, 10(2): 124-133.
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High-Order Two-Dimension Cluster Competitive Activation Mechanisms Used for Performing Symbolic Logic Algorithms of Problem Solving

  • Department of Computer Science; University of Xi'an Electronics Science and TechnologyXi 'an 710071;

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  • Published Date: March 09, 1995
    Abstract
  • This paper presents a neural network approach, based on high-order two-dimension temporal and dynamically clustering competitive activation mecha-nisms, to implement parallel searching algorithm and many other symbolic logicalgorithms. This approach is superior in many respects to both the commonsequential algorithms of symbolic logic and the common neura.l network usedfor optimization problems. Simulations of problem solving examples prove theeffectiveness of the approach.
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    • References (3)
  • [1]
    Fahner.G. An algorithm-structured neural net for the shortest-path problem. In Proc. of IJCNN'91, I:153-158.
    [2]
    Fahner.G. A high order unit that performs arbitrary Boolean function In Proc.of IJCNN'90, III: 193-197.
    [3]
    Benain.M, Samuelides.M. Dynamic properties of neural nets using competitive activation mechanism. In Proc. of IJCNN'90, III:541-546. ……….
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