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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/27076
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/27076

    Title: An Explanation of Reasoning Neural Networks
    Authors: 蔡瑞煌
    Keywords: Reasoning neural networks;Activation field;Properly placed;Level-adjacent mapping
    Date: 1998-07
    Issue Date: 2009-01-17 16:08:13 (UTC+8)
    Abstract: Reasoning Neural Networks (RN) adopts the layered feedforward network structure, and its learning algorithm belongs to the weight-and-structure-change category of learning algorithm. In this paper, we firstly explain that, in the layered feedforward network, the essential characteristic of the mapping between two consecutive layers is the level-adjacent mapping, in which level-adjacent patterns in the previous-layer space are mapped to similar patterns in the latter-layer space. Then, we explain how RN's learning algorithm handles the undesired predicaments associated with the back propagation learning algorithm.
    Relation: Mathematical and Computer Modelling, 28(2), 37-44
    Data Type: article
    Appears in Collections:[資訊管理學系] 期刊論文

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