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Intelligent Random Walk: An Approach Based on Learning Automata

  • Kartonierter Einband
  • 68 Seiten
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This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gra... Weiterlesen
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Beschreibung

This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk algorithms, which are used for modeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications.



Inhalt
Random walk algorithms: Definitions, weaknesses, and learning automata based approach.- Intelligent Models of Random Walk.- Applications.- Conclusions.

Produktinformationen

Titel: Intelligent Random Walk: An Approach Based on Learning Automata
Autor:
EAN: 9783030108823
ISBN: 3030108821
Format: Kartonierter Einband
Herausgeber: Springer International Publishing
Genre: Allgemeines & Lexika
Anzahl Seiten: 68
Gewicht: 119g
Größe: H235mm x B155mm x T4mm
Jahr: 2019
Untertitel: Englisch
Auflage: 1st ed. 2019

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