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Computational Methods for Application in Industry 4.0 [electronic resource] / by Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim.

By: Karkalos, Nikolaos E [author.].
Contributor(s): Markopoulos, Angelos P [author.] | Davim, J. Paulo [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Manufacturing and Surface Engineering: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: VIII, 67 p. 10 illus., 3 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319923932.Subject(s): Manufactures | Computational intelligence | Engineering mathematics | Machines, Tools, Processes | Computational Intelligence | Engineering MathematicsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 670 Online resources: Click here to access online
Contents:
General aspects and definitions -- Literature Review -- Evolution based methods -- Swarm intelligence based methods -- Other methods -- Case studies and conclusions.
In: Springer Nature eBookSummary: This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods' principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users.
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General aspects and definitions -- Literature Review -- Evolution based methods -- Swarm intelligence based methods -- Other methods -- Case studies and conclusions.

This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods' principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users.

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