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Fluctuation-Induced Network Control and Learning

Applying the Yuragi Principle of Brain and Biological Systems

Produktform: E-Buch Text Elektronisches Buch in proprietärem

From theory to application, this book presents research on biologically and brain-inspired networking and machine learning based on Yuragi, which is the Japanese term describing the noise or fluctuations that are inherently used to control the dynamics of a system. The Yuragi mechanism can be found in various biological contexts, such as in gene expression dynamics, molecular motors in muscles, or the visual recognition process in the brain. Unlike conventional network protocols that are usually designed to operate under controlled conditions with a predefined set of rules, the probabilistic behavior of Yuragi-based control permits the system to adapt to unknown situations in a distributed and self-organized manner leading to a higher scalability and robustness.This book will benefit those working in the fields of information networks, distributed systems, and machine learning who seek new design mechanisms for controlling large-scale dynamically changing systems. weiterlesen

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-9813349766 / 978-9813349766 / 9789813349766

Verlag: Springer Singapore

Erscheinungsdatum: 16.03.2021

Seiten: 236

Herausgegeben von Masayuki Murata, Kenji Leibnitz

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