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Deep Learning in Computational Mechanics : An Introductory Course /

This book provides a first course on deep learning in computational mechanics. The book starts with a short introduction to machine learning's fundamental concepts before neural networks are explained thoroughly. It then provides an overview of current topics in physics and engineering, setting...

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Bibliographic Details
Main Authors: Kollmannsberger, Stefan (Author), D'Angella, Davide (Author), Jokeit, Moritz (Author), Herrmann, Leon (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Studies in Computational Intelligence, 977
Subjects:
Computational intelligence.
Machine learning.
Thermodynamics.
Heat engineering.
Heat transfer.
Mass transfer.
Computational Intelligence.
Machine Learning.
Engineering Thermodynamics, Heat and Mass Transfer.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction
  • Fundamental Concepts of Machine Learning
  • Neural Networks
  • Machine Learning in Physics and Engineering
  • Physics-informed Neural Networks
  • Deep Energy Method.