教師資料查詢 | 類別: 期刊論文 | 教師: 鄭啟斌 Chi-Bin Cheng (瀏覽個人網頁)

標題:Fuzzy regression with radial basis function network
學年90
學期1
出版(發表)日期2001/09/28
作品名稱Fuzzy regression with radial basis function network
作品名稱(其他語言)
著者鄭啟斌; Lee, E. S.
單位淡江大學資訊管理學系
出版者
著錄名稱、卷期、頁數Fuzzy Sets and Systems 119, pp.291-301
摘要Radial basis function network is used in fuzzy regression analysis without predefined functional relationship between the input and the output. The proposed approach is a fuzzification of the connection weights between the hidden and the output layers. This fuzzy network is trained by a hybrid learning algorithm, where self-organized learning is used for training the parameters of the hidden units and supervised learning is used for updating the weights between the hidden and the output layers. The c-mean clustering method and the k-nearest-neighbor heuristics are used for the self-organized learning. The supervised learning is carried out by solving a linear possibilistic programming problem. Techniques for the generalization of the network are also proposed. Numerical examples are used to illustrate and to test the performances of the approach.
關鍵字Regression analysis;Nonparametric fuzzy regression;Fuzzy radial basis network
語言英文
ISSN0165-0114;1872-6801
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版,紙本
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