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Computational mechanics with neural ...

Yagawa, Genki.

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Computational mechanics with neural networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational mechanics with neural networks/ by Genki Yagawa, Atsuya Oishi.
Author:	Yagawa, Genki.
other author:	Oishi, Atsuya.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xii, 228 p. :ill., digital ;24 cm.
[NT 15003449]:	Part I: Machine Learning Technologies for Computational Mechanics -- Chapter 1. Computers and Network -- Chapter 2. Feedforward Neural Networks -- Chapter 3. Deep Learning -- Chapter 4. Mutually Connected Neural Networks -- Chapter 5. Other Neural Networks -- Chapter 6. Other Algorithms and Systems -- Part II Applications: Chapter 7. Introductory Remarks. Chapter 8. Constitutive Models -- Chapter 9. Numerical Quadrature -- Chapter 10. Identifications of Analysis Parameters.
Contained By:	Springer Nature eBook
Subject:	Mechanics, Applied - Mathematics. -
Online resource:	https://doi.org/10.1007/978-3-030-66111-3
ISBN:	9783030661113

Computational mechanics with neural networks
Yagawa, Genki.

Computational mechanics with neural networks[electronic resource] /by Genki Yagawa, Atsuya Oishi. - Cham :Springer International Publishing :2021. - xii, 228 p. :ill., digital ;24 cm. - Lecture notes on numerical methods in engineering and sciences,1877-7341. - Lecture notes on numerical methods in engineering and sciences..

Part I: Machine Learning Technologies for Computational Mechanics -- Chapter 1. Computers and Network -- Chapter 2. Feedforward Neural Networks -- Chapter 3. Deep Learning -- Chapter 4. Mutually Connected Neural Networks -- Chapter 5. Other Neural Networks -- Chapter 6. Other Algorithms and Systems -- Part II Applications: Chapter 7. Introductory Remarks. Chapter 8. Constitutive Models -- Chapter 9. Numerical Quadrature -- Chapter 10. Identifications of Analysis Parameters.

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other machine learning methods in computational mechanics. Part II highlights the applications of neural networks to a variety of problems of computational mechanics. The final chapter gives perspectives to the applications of the deep learning to computational mechanics.

ISBN: 9783030661113

Standard No.: 10.1007/978-3-030-66111-3doiSubjects--Topical Terms:

710962
Mechanics, Applied
--Mathematics.

LC Class. No.: TA350

Dewey Class. No.: 620.1

Computational mechanics with neural networks
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100 1 $a Yagawa, Genki. $3 3491266
245 1 0 $a Computational mechanics with neural networks $h [electronic resource] / $c by Genki Yagawa, Atsuya Oishi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xii, 228 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes on numerical methods in engineering and sciences, $x 1877-7341
505 0 $a Part I: Machine Learning Technologies for Computational Mechanics -- Chapter 1. Computers and Network -- Chapter 2. Feedforward Neural Networks -- Chapter 3. Deep Learning -- Chapter 4. Mutually Connected Neural Networks -- Chapter 5. Other Neural Networks -- Chapter 6. Other Algorithms and Systems -- Part II Applications: Chapter 7. Introductory Remarks. Chapter 8. Constitutive Models -- Chapter 9. Numerical Quadrature -- Chapter 10. Identifications of Analysis Parameters.
520 $a This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other machine learning methods in computational mechanics. Part II highlights the applications of neural networks to a variety of problems of computational mechanics. The final chapter gives perspectives to the applications of the deep learning to computational mechanics.
650 0 $a Mechanics, Applied $x Mathematics. $3 710962
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700 1 $a Oishi, Atsuya. $3 3491267
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