Electronic Resource

Cellular Learning Automata: Theory and Applications

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Penilaian

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This book highlights both theoretical and applied advances in cellular learning automata (CLA), a type of hybrid computational model that has been successfully employed in various areas to solve complex problems and to model, learn, or simulate complicated patterns of behavior. Owing to CLA’s parallel and learning abilities, it has proven to be quite effective in uncertain, time-varying, decentralized, and distributed environments.


The book begins with a brief introduction to various CLA models, before focusing on recently developed CLA variants. In turn, the research areas related to CLA are addressed as bibliometric network analysis perspectives. The next part of the book presents CLA-based solutions to several computer science problems in e.g. static optimization, dynamic optimization, wireless networks, mesh networks, and cloud computing. Given its scope, the book is well suited for all researchers in the fields of artificial intelligence and reinforcement learning.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001444	EB0002050	006.31 Cel	Central Library (OPAC)	Available

Detail Information

Series Title

Studies in Systems, Decision and Control

Call Number

006.31 Cel

Publisher

Switzerland : Springer Cham., 2020

Collation

XVI, 365p.:Ill

Language

English

ISBN/ISSN

978-3-030-53141-6

Classification

006.31

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Machine Learning

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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