Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems
暫譯: 波動誘導的網絡控制與學習:應用腦與生物系統的湧動原則

Murata, Masayuki, Leibnitz, Kenji

  • 出版商: Springer
  • 出版日期: 2021-03-17
  • 售價: $5,640
  • 貴賓價: 9.5$5,358
  • 語言: 英文
  • 頁數: 236
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9813349751
  • ISBN-13: 9789813349759
  • 海外代購書籍(需單獨結帳)

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商品描述

Chapter 1: Introduction to Yuragi Theory and Yuragi Control.- Chapter 2: Functional Roles of Yuragi in Biosystems.- Chapter 3: Next-Generation Bio- and Brain-Inspired Networking.- Chapter 4: Yuragi-Based Virtual Network Control.- Chapter 5: Introduction to Yuragi Learning.- Chapter 6: Fast/Slow-Pathway Bayesian Attractor Model for IoT Networks Based on Software-Defined Networking with Virtual Network Slicing.- Chapter 7: Application to IoT Network Control.- Chapter 8: Another Prediction Method and Application to Low-Power Wide-Area Networks.- Chapter 9: Artificial Intelligence Platform for Yuragi Learning.- Chapter 10: Bias-Free Yuragi Learning.

商品描述(中文翻譯)

第一章:Yuragi 理論與 Yuragi 控制簡介。
第二章:Yuragi 在生物系統中的功能角色。
第三章:下一代生物與腦啟發網路。
第四章:基於 Yuragi 的虛擬網路控制。
第五章:Yuragi 學習簡介。
第六章:基於軟體定義網路與虛擬網路切片的 IoT 網路快速/慢速通道貝葉斯吸引子模型。
第七章:應用於 IoT 網路控制。
第八章:另一種預測方法及其在低功耗廣域網路中的應用。
第九章:Yuragi 學習的人工智慧平台。
第十章:無偏見的 Yuragi 學習。

作者簡介

Masayuki Murata received the M.E. and D.E. degrees in information and computer science from Osaka University, Japan, in 1984 and 1988, respectively. In April 1984, he joined the Tokyo Research Laboratory, IBM Japan, as a researcher. From September 1987 to January 1989, he was an assistant professor with the Computation Center, Osaka University. In February 1989, he moved to the Department of Information and Computer Sciences, Faculty of Engineering Science, Osaka University. In April 1999, he became a professor in the Cybermedia Center, Osaka University, and he now has been with the Graduate School of Information Science and Technology, Osaka University, since April 2004. He has published or presented more than 900 papers in international and domestic journals and at conferences. His research interests include computer network architecture and bio- and brain-inspired computing platforms. He is a member of IEEE, ACM, and IEICE.

Kenji Leibnitz received his M.Sc. and Ph.D. degrees in information science from the University of Würzburg, Germany, in 2003. In 2004, he joined the research group of Prof. Murata at Osaka University, where he became a specially appointed associate professor in 2006. In 2010, he moved to the National Institute of Information and Communications Technology (NICT) as a senior researcher, and since 2013 he has been a principal investigator at the Center for Information and Neural Networks (CiNet) of NICT and Osaka University. His research interests include modeling and performance analysis of communication networks, especially biologically and brain-inspired mechanisms for self-organization in future networks.

作者簡介(中文翻譯)

村田正幸於1984年和1988年分別在日本大阪大學獲得資訊與計算機科學的碩士和博士學位。1984年4月,他加入了IBM日本東京研究實驗室,擔任研究員。從1987年9月到1989年1月,他在大阪大學計算中心擔任助理教授。1989年2月,他轉至大阪大學工程科學院資訊與計算機科學系。1999年4月,他成為大阪大學網路媒體中心的教授,並自2004年4月起在大阪大學資訊科學與技術研究所任教。他在國內外期刊和會議上發表或展示了超過900篇論文。他的研究興趣包括計算機網路架構以及生物和大腦啟發的計算平台。他是IEEE、ACM和IEICE的成員。

肯吉·萊賓茨於2003年在德國維爾茨堡大學獲得資訊科學的碩士和博士學位。2004年,他加入大阪大學村田教授的研究團隊,並於2006年成為特任副教授。2010年,他轉至國家資訊與通訊技術研究所(NICT)擔任高級研究員,自2013年以來,他一直是NICT和大阪大學資訊與神經網路中心(CiNet)的首席研究員。他的研究興趣包括通訊網路的建模和性能分析,特別是未來網路中自我組織的生物和大腦啟發機制。