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Intelligent Random Walk: An Approach Based on Learning Automata: SpringerBriefs in Applied Sciences and Technology

Autor Ali Mohammad Saghiri, M. Daliri Khomami, Mohammad Reza Meybodi
en Limba Engleză Paperback – 14 ian 2019
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.
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Specificații

ISBN-13: 9783030108823
ISBN-10: 3030108821
Pagini: 51
Ilustrații: IX, 55 p. 31 illus., 16 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.12 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile SpringerBriefs in Applied Sciences and Technology, SpringerBriefs in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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