Intelligent Random Walk: An Approach Based on Learning Automata

Name: Intelligent Random Walk: An Approach Based on Learning Automata
SKU: 28816414
Price: 139.99 AUD
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Paperback / softback

Series:

SpringerBriefs in Computational Intelligence

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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.

Release date Australia

January 14th, 2019

Author

Series

SpringerBriefs in Computational Intelligence

Pages

Edition

1st ed. 2019

Audience

Professional & Vocational

Illustrations

16 Illustrations, color; 15 Illustrations, black and white; IX, 55 p. 31 illus., 16 illus. in color.

ISBN-13

9783030108823

Product ID

28816414

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