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Intelligent Random Walk: An Approach Based on Learning Automata

Intelligent Random Walk: An Approach Based on Learning Automata

Ali Mohammad Saghiri, M. Daliri Khomami, Mohammad Reza Meybodi

 

Verlag Springer-Verlag, 2019

ISBN 9783030108830 , 55 Seiten

Format PDF

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Intelligent Random Walk: An Approach Based on Learning Automata


 

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.