Machine Learning in Modeling and Simulation

Name: Machine Learning in Modeling and Simulation
Brand: Springer, Berlin
SKU: 9783031366468
Price: 989.21 RON
Availability: InStock

Methods and Applications

Autor: Timon Rabczuk, Klaus-Jürgen Bathe

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Legare: Carte broșată

Editura: Springer, Berlin

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Machine learning (ML) approaches have been extensively and successfully employed in various areas,...

Informații despre carte

Autor

Timon Rabczuk, Klaus-Jürgen Bathe

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2024

Pagini

451

EAN

9783031366468

Enbook ID

46636799

Editura

Springer, Berlin

Greutate

782

Dimensiuni

155 x 235

Descriere completă

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.

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Machine Learning in Modeling and Simulation

Methods and Applications

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