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Computational methods for applicatio...

Karkalos, Nikolaos E.

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Computational methods for application in industry 4.0

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational methods for application in industry 4.0/ by Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim.
作者:	Karkalos, Nikolaos E.
其他作者:	Markopoulos, Angelos P.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	viii, 67 p. :ill. (some col.), digital ;24 cm.
內容註:	General aspects and definitions -- Literature Review -- Evolution based methods -- Swarm intelligence based methods -- Other methods -- Case studies and conclusions.
Contained By:	Springer eBooks
標題:	Mathematical optimization. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-92393-2
ISBN:	9783319923932

Computational methods for application in industry 4.0
Karkalos, Nikolaos E.

Computational methods for application in industry 4.0[electronic resource] /by Nikolaos E. Karkalos, Angelos P. Markopoulos, J. Paulo Davim. - Cham :Springer International Publishing :2019. - viii, 67 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

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.

ISBN: 9783319923932

Standard No.: 10.1007/978-3-319-92393-2doiSubjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

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