An Acquisition of Fuzzy Rules for Mobile Robot Using Fuzzy Classifier Systems

Material type: 文書・図像類

Author: INOUE, Hiroyukiほか

Publisher: 日本知能情報ファジィ学会

Publication date: 2004

Material Format: Digital

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Note (General)：: We had presented an automatic generation method of fuzzy rules using hyper-cone membership functions by fuzzy classifier system (FCS), and applied to ...

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Material Type: 文書・図像類
Title: An Acquisition of Fuzzy Rules for Mobile Robot Using Fuzzy Classifier Systems
Author/Editor: INOUE, Hiroyuki
KAMEI, Katsuari
Author Heading: INOUE, Hiroyuki
KAMEI, Katsuari
Publication, Distribution, etc.: 日本知能情報ファジィ学会
Publication Date: 2004
Publication Date (W3CDTF): 2004
Periodical title: Proceedings of the Joint 2nd International Conference on Soft Computing and Intelligent Systems and the 5th International Symposium on Advanced Intelligent Systems
Pages: THE-1-5-
Text Language Code: eng
Subject Heading: Fuzzy Classifier System
Fuzzy Rule Generation
Genetic Algorithm
Mobile Robot
Target Audience: 一般
Note (General): We had presented an automatic generation method of fuzzy rules using hyper-cone membership functions by fuzzy classifier system (FCS), and applied to the inverted pendulum control. However, it is considered that the FCS can be applied to on-line learning of autonomous robots, etc.. In this paper, we tried that the presented FCS was applied to simulation of a mobile robot. Also, two methods which genetic operations were improved were used in order to aim at the application to the real machine.
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 福井大学 : 福井大学学術機関リポジトリ