教師資料查詢 | 類別: 期刊論文 | 教師: 賴友仁 LAI YU-JEN (瀏覽個人網頁)

標題:A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems
學年94
學期1
出版(發表)日期2006/01/01
作品名稱A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems
作品名稱(其他語言)
著者Su, Mu-chun; Chou, Chien-hsing; 賴友仁; Lai, Eugene; Lee, Jonathan
單位淡江大學電機工程學系
出版者Elsevier
著錄名稱、卷期、頁數Neurocomputing 69(4), pp.586-614
摘要A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbitrary environment. In a classifier system, the bucket brigade algorithm is used to solve the problem of credit assignment, which is a critical problem in the field of reinforcement learning. In this paper, we propose a new approach to fuzzy classifier systems and a neuro-fuzzy system referred to as ACSNFIS to implement the proposed fuzzy classifier system. The proposed system is tested by the balancing problem of a cart pole and the back-driving problem of a truck to demonstrate its performance.
關鍵字Reinforcement learning;Neural networks;Neuro-fuzzy systems;Classifier systems;Bucket brigade algorithm
語言英文
ISSN0925-2312
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國別荷蘭
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