Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems

Murata, Masayuki, Leibnitz, Kenji

  • 出版商: Springer
  • 出版日期: 2022-03-18
  • 售價: $5,660
  • 貴賓價: 9.5$5,377
  • 語言: 英文
  • 頁數: 250
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9813349786
  • ISBN-13: 9789813349780
  • 海外代購書籍(需單獨結帳)

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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.