國立高雄大學圖資館 |

Language: English

Back

Computational mechanics with neural ...

Oishi, Atsuya.

Computational mechanics with neural networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational mechanics with neural networksby 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.
Contained By:	Springer Nature eBook
Subject:	Mechanics, AppliedMathematics.
Online resource:	https://doi.org/10.1007/978-3-030-66111-3
ISBN:	9783030661113$q(electronic bk.)

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$q(electronic bk.)

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

456859
Mechanics, Applied
--Mathematics.

LC Class. No.: TA350

Dewey Class. No.: 620.1

Computational mechanics with neural networks
LDR:01926nmm a2200337 a 4500 001 600479
003 DE-He213
005 20210520115823.0
006 m d
007 cr nn 008maaau
008 211104s2021 sz s 0 eng d
020 $a 9783030661113$q(electronic bk.)
020 $a 9783030661106$q(paper)
024 7 $a 10.1007/978-3-030-66111-3 $2 doi
035 $a 978-3-030-66111-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TA350
072 7 $a TGB $2 bicssc
072 7 $a TEC009070 $2 bisacsh
072 7 $a TGB $2 thema
082 0 4 $a 620.1 $2 23
090 $a TA350 $b .Y12 2021
100 1 $a Yagawa, Genki. $3 895034
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 456859
650 0 $a Neural networks (Computer science) $3 181982
650 1 4 $a Mechanical Engineering. $3 273894
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 567118
650 2 4 $a Complex Systems. $3 558544
650 2 4 $a Machine Learning. $3 833608
700 1 $a Oishi, Atsuya. $3 895035
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes on numerical methods in engineering and sciences. $3 700152
856 4 0 $u https://doi.org/10.1007/978-3-030-66111-3
950 $a Engineering (SpringerNature-11647)