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Intelligent Random Walk: An Approach Based on Learning Automata (SpringerBriefs in Applied Sciences and Technology) - Tapa blanda

Saghiri, Ali Mohammad

 
9783030108823: Intelligent Random Walk: An Approach Based on Learning Automata (SpringerBriefs in Applied Sciences and Technology)
Tapa blanda
ISBN 10: 3030108821 ISBN 13: 9783030108823
Editorial: Springer, 2019

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2019
Idioma
Inglés
ISBN 10 
3030108821
ISBN 13 
9783030108823
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
68
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