Computational Mechanics with Neural Networks

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.

List of contents

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.

Product details

• Authors: Atsuya Oishi, Genki Yagawa
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 13.03.2022
• EAN: 9783030661137
• ISBN: 978-3-0-3066113-7
• No. of pages: 228
• Dimensions: 155 mm x 13 mm x 235 mm
• Illustrations: XII, 228 p. 79 illus.
• Series: Lecture Notes on Numerical Methods in Engineering and Sciences
• Subject: Natural sciences, medicine, IT, technology > Technology > Mechanical engineering, production engineering