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Can I read Learning Automata Approach For Social Networks (studies In Computational Intelligence) on EtoBox?
Learning Automata Approach For Social Networks (studies In Computational Intelligence) by Alireza Rezvanian; Behnaz Moradabadi; Mina Ghavipour; Mohammad Mehdi Daliri Khomami; Mohammad Reza Meybodi; SpringerLink (Online service) is a engineering available to read on EtoBox.
What is Learning Automata Approach For Social Networks (studies In Computational Intelligence) about?
This book begins by briefly explaining learning automata (LA) models and a recently developed cellular learning automaton (CLA) named wavefront CLA. Analyzing social networks is increasingly important, so as to identify behavioral patterns in interactions among individuals and in the networks’ evolution, and to develop the algorithms required for meaningful analysis. As an emerging artificial intelligence research area, learning automata (LA) has already had a significant impact in many areas of
Who reads Learning Automata Approach For Social Networks (studies In Computational Intelligence)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Alireza Rezvanian; Behnaz Moradabadi; Mina Ghavipour; Mohammad Mehdi Daliri Khomami; Mohammad Reza Meybodi; SpringerLink (Online service)
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2019
- Language
- EN
- ISBN
- 9783030107666
- Category
- engineering
- Subjects
- Engineering, Science, Computer Science
- Updated
- 2026-03-25
More by Alireza Rezvanian; Behnaz Moradabadi; Mina Ghavipour; Mohammad Mehdi Daliri Khomami; Mohammad Reza Meybodi; SpringerLink (Online service)
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