Learning of Associative Memory Networks Based Upon Cone-Like Domains of Attraction

• Material Type: 文書・図像類
• Title: Learning of Associative Memory Networks Based Upon Cone-Like Domains of Attraction
• Author/Editor: 新島, 耕一
• Author Heading: 新島, 耕一
• Publication, Distribution, etc.: Department of Informatics, Kyushu University
• Publication Date: 1996-06-18
• Publication Date (W3CDTF): 1996-06-18
• Periodical title: DOI Technical Report
• No. or year of volume/issue: 126
• Volume: 126
• Text Language Code: eng
• Subject Heading: Cone-like domains; Learning algorithm; Autoassociative memory networks; Extended domains of attraction; Pattern recognition
• Target Audience: 一般
• Access Restrictions: インターネット公開
• Related Material: DOI Technical Report || 126 || p1-9; http://www.i.kyushu-u.ac.jp/research/report.html
• 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): 九州大学 : 九州大学学術情報リポジトリ

• Summary, etc.: A learning algorithm for single layer perceptrons is proposed. First, cone-like domains, each of which i s mapped by the perceptron network into almos...