Machine Learning in Geomechanics 2

Data-Driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinforcement Learning de

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Éditeur :

Wiley-ISTE


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ISTE Consignment

Paru le : 2024-10-11

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Description

Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics.
The two volumes of Machine Learning in Geomechanics aim to demystify machine learning. They present the main methods and provide examples of its applications in mechanics and geomechanics. Most of the chapters provide a pedagogical introduction to the most important methods of machine learning and uncover the fundamental notions underlying them.
Building from the simplest to the most sophisticated methods of machine learning, the books give several hands-on examples of coding to assist readers in understanding both the methods and their potential and identifying possible pitfalls.
Pages
304 pages
Collection
ISTE Consignment
Parution
2024-10-11
Marque
Wiley-ISTE
EAN papier
9781789451931
EAN PDF
9781394325641

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
304
Taille du fichier
10281 Ko
Prix
148,86 €
EAN EPUB
9781394325658

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
304
Taille du fichier
17766 Ko
Prix
148,86 €