| 000 -LEADER |
|---|
| fixed length control field |
01982nam a22002777a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240904144603.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240904b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783031118463 |
| 040 ## - CATALOGING SOURCE |
|---|
| Language of cataloging |
eng |
| Transcribing agency |
ASCOT Library |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
Ref 620.1 Y10c 2023 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Yagawa, Genki. |
| Relator code |
author. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Computational mechanics with deep learning: |
| Remainder of title |
an introduction / |
| Statement of responsibility, etc |
by Yagawa, Genki & Oishi, Atsuya. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Cham, Switzerland : |
| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
2023. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 402 pages: |
| Other physical details |
col. illus. ; 24 cm. |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Lecture notes on numerical methods in engineering and sciences |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. Overview<br/>2. Mathematical Background for Deep Learning<br/>3. Computational Mechanics with Deep Learning<br/>4. Numerical Quadrature with Deep Learning<br/>5. Improvement of Finite Element Solutions with Deep Learning<br/>6. Contact Mechanics with Deep Learning<br/>7. Flow Simulation with Deep Learning<br/>8. Further Applications with Deep Learning<br/>9. Bases for Computer Programming<br/>10. Computer Programming for a Representative Problem |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"This book is intended for students, engineers, and researchers interested in both computational mechanics and deep learning. It presents the mathematical and computational foundations of Deep Learning with detailed mathematical formulas in an easy-to-understand manner. It also discusses various applications of Deep Learning in Computational Mechanics, with detailed explanations of the Computational Mechanics fundamentals selected there. Sample programs are included for the reader to try out in practice. This book is therefore useful for a wide range of readers interested in computational mechanics and deep learning" -- Back cover |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Deep learning--Machine learning. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Mechanics, Applied. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computational mechanics. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Oishi, Atsuya. |
| Relator code |
author. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Books |
| Source of classification or shelving scheme |
|
