淡江大學機構典藏:Item 987654321/121470
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    题名: The Development of a Weighted Evolving Fuzzy Neural Network
    作者: Chang, Pei-Chann;Liu, Chen-Hao;Yeh, Chia-Hsuan;Chen, Shih-Hsin
    日期: 2006-08-16
    上传时间: 2021-10-14 12:11:08 (UTC+8)
    摘要: This study modifies the Evolving Fuzzy Neural Network Framework (EFuNN framework) proposed by Kasabov (1998) and adopts a weighted factor to calculate the importance of each factor among these different rules. In addition, an exponential transfer function (exp (-D)) is employed to transfer the distance of any two factors into the value of similarity among different rules, thus a different rule clustering method is developed accordingly. The intensive experimental results show that the WEFuNN performs very well when applied in the PCB sales forecasting.
    關聯: Lecture Notes in Artificial Intelligence 4114, p.212-221
    DOI: 10.1007/978-3-540-37275-2_28
    显示于类别:[資訊工程學系暨研究所] 期刊論文

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