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...

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Detaylı Bibliyografya
Asıl Yazarlar: Saghiri, Ali Mohammad (Yazar), Khomami, M. Daliri (Yazar), Meybodi, Mohammad Reza (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:SpringerBriefs in Computational Intelligence,
Konular:
Computational intelligence.
Control engineering.
Robotics.
Automation.
Machine learning.
Neural networks (Computer science) .
Computational Intelligence.
Control, Robotics, Automation.
Machine Learning.
Mathematical Models of Cognitive Processes and Neural Networks.
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:IX, 55 p. 31 illus., 16 illus. in color. online resource.
ISBN:9783030108830
ISSN:2625-3712
DOI:10.1007/978-3-030-10883-0

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