Fluctuation-Induced Network Control and Learning

Fluctuation-Induced Network Control and Learning

Applying the Yuragi Principle of Brain and Biological Systems

Leibnitz, Kenji; Murata, Masayuki

Springer Verlag, Singapore

03/2022

236

Mole

Inglês

9789813349780

15 a 20 dias

385

Descrição não disponível.

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.

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Bio-inspired networking;brain-inspired networking;uncertainty;dynamic environment;decision-making;sensing noise;control systems;fluctuation;machine learning