Advertisement

Intelligent Random Walk: An Approach Based on Learning Automata

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

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Ali Mohammad Saghiri, M. Daliri Khomami, Mohammad Reza Meybodi
    Pages 1-7
  3. Ali Mohammad Saghiri, M. Daliri Khomami, Mohammad Reza Meybodi
    Pages 9-23
  4. Ali Mohammad Saghiri, M. Daliri Khomami, Mohammad Reza Meybodi
    Pages 25-50
  5. Ali Mohammad Saghiri, M. Daliri Khomami, Mohammad Reza Meybodi
    Pages 51-55

About this book

Introduction

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.

Keywords

Learning Automata Intelligent Random Walk Random Walk Algorithms Learning Automaton Artificial Intelligence Neural Networks Evolutionary Algorithms Deep Learning Distributed Systems

Authors and affiliations

  • Ali Mohammad Saghiri
    • 1
  • M. Daliri Khomami
    • 2
  • Mohammad Reza Meybodi
    • 3
  1. 1.Amirkabir University of TechnologyTehranIran
  2. 2.Amirkabir University of TechnologyTehranIran
  3. 3.Amirkabir University of TechnologyTehranIran

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-10883-0
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-3-030-10882-3
  • Online ISBN 978-3-030-10883-0
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering