Téléchargez le livre : Intelligent Random Walk: An Approach Based on Learning Automata

Intelligent Random Walk: An Approach Based on Learning Automata

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Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2019-01-02

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Description

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.
Pages
55 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2019-01-02
Marque
Springer
EAN papier
9783030108823
EAN PDF
9783030108830
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
2877 Ko
Prix
52,74 €
EAN EPUB
9783030108830
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
6349 Ko
Prix
52,74 €

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