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

• 資料種別: 文書・図像類
• タイトル: An Acquisition of Fuzzy Rules for Mobile Robot Using Fuzzy Classifier Systems
• 著者・編者: INOUE, Hiroyuki; KAMEI, Katsuari
• 著者標目: INOUE, Hiroyuki; KAMEI, Katsuari
• 出版事項: 日本知能情報ファジィ学会
• 出版年月日等: 2004
• 出版年（W3CDTF）: 2004
• タイトル（掲載誌）: Proceedings of the Joint 2nd International Conference on Soft Computing and Intelligent Systems and the 5th International Symposium on Advanced Intelligent Systems
• 掲載ページ: THE-1-5-
• 本文の言語コード: eng
• 件名標目: Fuzzy Classifier System; Fuzzy Rule Generation; Genetic Algorithm; Mobile Robot
• 対象利用者: 一般
• 一般注記: 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.
• 一次資料へのリンクURL: https://u-fukui.repo.nii.ac.jp/?action=repository_action_common_download&item_id=23475&item_no=1&attribute_id=22&file_no=1
• オンライン閲覧公開範囲: 限定公開
• 連携機関・データベース: 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
• 提供元機関・データベース: 福井大学 : 福井大学学術機関リポジトリ