Overview
- Discusses neural networks and the related methods in computational mechanics
- Presents the bases on computers and networks
- Highlights machine learning methods
Part of the book series: Lecture Notes on Numerical Methods in Engineering and Sciences (LNNMES)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other machine learning method 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.
Similar content being viewed by others
Keywords
Table of contents (16 chapters)
-
Front Matter
-
Preliminaries: Machine Learning Technologies for Computational Mechanics
-
Front Matter
-
-
Applications
-
Front Matter
-
-
Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Computational Mechanics with Neural Networks
Authors: Genki Yagawa, Atsuya Oishi
Series Title: Lecture Notes on Numerical Methods in Engineering and Sciences
DOI: https://doi.org/10.1007/978-3-030-66111-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-66110-6Published: 27 February 2021
Softcover ISBN: 978-3-030-66113-7Published: 27 February 2022
eBook ISBN: 978-3-030-66111-3Published: 26 February 2021
Series ISSN: 1877-7341
Series E-ISSN: 1877-735X
Edition Number: 1
Number of Pages: XII, 228
Number of Illustrations: 79 b/w illustrations
Topics: Mechanical Engineering, Mathematical Models of Cognitive Processes and Neural Networks, Complex Systems, Machine Learning