Fluctuation-induced network control and learning : applying the yuragi principle of brain and biological systems

• Material Type: 図書
• ISBN: 9789813349759 (print); 9813349751 (print)
• ISBN (error code): 9789813349766 (electronic bk.); 981334976X (electronic bk.)
• Title: Fluctuation-induced network control and learning : applying the yuragi principle of brain and biological systems
• Author/Editor: Masayuki Murata, Kenji Leibnitz, editors
• Author Heading: 村田, 正幸, 1959- ムラタ, マサユキ, 1959- ( 00385213 )Authorities; Leibnitz, Kenji
• Publication, Distribution, etc.: Singapore : Springer (出版)
• Publication Date: [2021]
• Publication Date (W3CDTF): 2021
• Extent: xi, 236 pages
• Other physical details: illustrations
• Size: 25 cm
• Place of Publication (Country Code): SG
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: Machine learning; Neural networks (Computer science); Artificial intelligence; Computer networks; Electrical engineering; Artificial Intelligence; Computer Communication Networks; Communications Engineering, Networks
• LCC: Q325.5
• DDC: 006.3
• NDLC: M121
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references and index
• Collection (particular): 日本関係外国語図書
• Holding library: 国立国会図書館
• Call No.: M121-D29
• Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 031232646; http://id.ndl.go.jp/bib/031232646
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Contents: Chapter 1: Introduction to Yuragi Theory and Yuragi ControlChapter 2: Functional Roles of Yuragi in BiosystemsChapter 3: Next-Generation Bio- and Brai...
• Summary, etc.: From theory to application, this book presents research on biologically and brain-inspired networking and machine learning based on Yuragi, which is t...