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    ASIA unversity > 資訊學院 > 資訊傳播學系 > 會議論文 >  Item 310904400/6852

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/6852

    Title: Implementation of the relaxation process by the interactive activation and competition network
    Authors: S. S. Yu;W. H. Tsai
    Contributors: Department of Information Communication
    Date: 1991-7
    Issue Date: 2009-12-23 19:34:42 (UTC+8)
    Publisher: Asia University
    Abstract: The relaxation process is a useful technique for using contextual information to reduce local ambiguity and achieve global consistency in various applications. It is basically a parallel execution model, adjusting the confidence measures of involved entities based on interrelated hypotheses and confidence measures. On the other hand, the neural network is a computational model with massively parallel execution capability.
    The output of each neuron depends mainly on the information ovided by other neurons. Therefore, there exist certain common properties in the relaxation process and the neural network technique.
    A mapping method that makes the interactive activation and etition network perform the relaxation process is proposed. By this method, the neural network technology can be easily adapted tb solve the many problems which have already been solved by the relaxation process. Experimental results of solving a modified version of the n-queens problem on the proposed neural network are given to demonstrate the feasibility of the proposed method.
    Relation: International Joint Conference on Neural Networks, Seatle Washington, U. S. A.,
    Appears in Collections:[資訊傳播學系] 會議論文

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