Machine Learning in Modeling and Simulation : Methods and Applications

Language: English

Published by Springer, 2024

3031366468 / 9783031366468

Series: Book 4 of 5 - Computational Methods in Engineering & the Sciences

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time. With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of modeling and simulation can be opened but the potential of these ML techniques needs to still be fully harvested, with the methods developed and enhanced. The objective of this book is to provide an overview of ML in Engineering and the Sciences presenting fundamental theoretical ingredients with a focus on the next generation of computer modeling in Engineering and the Sciences in which the exciting aspects of machine learning are incorporated. The book is of value to any researcher and practitioner interested in research or applications of ML in the areas of scientific modeling and computer aided engineering.

Seller Inventory # 9783031366468

Title
Machine Learning in Modeling and Simulation : Methods and Applications
Author
Timon Rabczuk
Publisher
Springer
Publication year
2024
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031366468
ISBN 13
9783031366468
Item weight
782 grams
Dimensions
235x155x24 mm
Series
Book 4 of 5: Computational Methods in Engineering & the Sciences

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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