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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/112024
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/112024

    Title: Reasoning Neural Networks
    Authors: 蔡瑞煌
    Tsaih, Rua-Huan
    Contributors: 資訊管理學系
    Date: 1997
    Issue Date: 2017-08-17 16:28:06 (UTC+8)
    Abstract: The Reasoning Neural Network (RN) has a learning algorithm belonging to the weight-and-structure-change category, because it puts only one hidden node in the initial network structure, and will recruit and prune hidden nodes during the learning process. Empirical results show that learning of the RN is guaranteed to be completed, the number of required hidden nodes is reasonable, that the speed of learning is much faster than back propagation networks, and that the RN is able to develop good internal representation.
    Relation: Mathematics of Neural Networks pp 366-371 Part of the Operations Research/Computer Science Interfaces Series book series (ORCS, volume 8)
    Data Type: book/chapter
    DOI 連結: https://doi.org/10.1007/978-1-4615-6099-9_64
    DOI: 10.1007/978-1-4615-6099-9_64
    Appears in Collections:[資訊管理學系] 期刊論文

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