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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96010

    題名: A Novel Dynamic Structural Neural Network with Nruro-Regeneration and Neuro-Degeneration
    作者: Hsiao, Ying-Tung;Chuang, Cheng-Long;Jiang, Joe-Air
    貢獻者: 淡江大學電機工程學系
    日期: 2005-05
    上傳時間: 2014-02-13 11:34:27 (UTC+8)
    摘要: This paper presents a novel dynamic structural neural network (DSNN) and a learning algorithm for training DSNN. The performance of a neural network system depends on several factors. In that, the architecture of a neural network plays an important role. The objective of the developing DSNN is to avoid trial-and-error process for designing a neural network system. The architecture of DSNN consists of a three-dimensional set of neurons with input/output nodes and connection weights. Designers can define the maximum connection number of each neuron. Moreover, designers can manually deploy neurons in a virtual 3-D space, or randomly generate the system structure by the proposed learning algorithm. This work also develops an automatic restructuring algorithm integrated in the proposed learning algorithm to improve the system performance. Due to the novel dynamic structure of DSNN and the restructuring algorithm, the design of DSNN is fast and convenient. Furthermore, DSNN is implemented in C++ with man-machine interactive procedures and tested on many cases with promising results.
    關聯: 第九屆IEEE細胞神經網路及其應用國際研討會論文集=Proceedings of the 9th IEEE International Workshop on Cellular Neural Networks and Their Applications,頁41531
    顯示於類別:[電機工程學系暨研究所] 會議論文


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