The Development of a Weighted Evolving Fuzzy Neural Network
學年 95
學期 1
出版（發表）日期 2006-08-16
作品名稱 The Development of a Weighted Evolving Fuzzy Neural Network
作品名稱（其他語言）
著者 Pei-Chann Chang; Chen-Hao Liu; Chia-Hsuan Yeh; Shih-Hsin Chen
單位
出版者
著錄名稱、卷期、頁數 Lecture Notes in Artificial Intelligence 4114, p.212-221
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.
關鍵字
語言 en
ISSN
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 是
國別 NLD
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/121470 )