Description

Book Synopsis

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.



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

Intelligent Random Walk: An Approach Based on

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    A Paperback / softback by Ali Mohammad Saghiri, M. Daliri Khomami, Mohammad Reza Meybodi

    15 in stock

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      View other formats and editions of Intelligent Random Walk: An Approach Based on by Ali Mohammad Saghiri

      Publisher: Springer Nature Switzerland AG
      Publication Date: 14/01/2019
      ISBN13: 9783030108823, 978-3030108823
      ISBN10: 3030108821
      Also in:
      Computing Machine learning Mathematics Probability and statistics

      Description

      Book Synopsis

      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.



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

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