教師資料查詢 | 類別: 期刊論文 | 教師: 蘇木春 SU MU-CHUN (瀏覽個人網頁)

標題:Application of neural networks incorporated with real-valued genetic algorithms in knowledge acquisition
學年88
學期2
出版(發表)日期2000/05/01
作品名稱Application of neural networks incorporated with real-valued genetic algorithms in knowledge acquisition
作品名稱(其他語言)
著者蘇木春; Su, Mu-chun; Chang, Hsiao-te
單位淡江大學電機工程學系
出版者Elsevier
著錄名稱、卷期、頁數Fuzzy sets and systems 112(1), pp.85-97
摘要Often a major difficulty in the design of rule-based systems is the process of acquiring the requisite knowledge in the form of If–Then rules. This paper presents a class of fuzzy degraded hyperellipsoidal composite neural networks (FDHECNNs) that are trained to provide appealing solutions to the problem of knowledge acquisition. The values of the network parameters, after sufficient training, are then utilized to generate If–Then rules on the basis of preselected meaningful features. In order to avoid the risk of getting stuck in local minima during the training process, a real-valued genetic algorithm is proposed to train FDHECNNs. The effectiveness of the method is demonstrated on two problems, namely, the “truck backer-upper” problem as well as real-world application of a hypothesis regarding the pathophysiology of diabetes.
關鍵字Neural networks; Pattern recognition; Medicine; Fuzzy control
語言英文
ISSN0165-0114
期刊性質國內
收錄於
產學合作
通訊作者
審稿制度
國別中華民國
公開徵稿
出版型式,電子版
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!