E-Book, Englisch, 402 Seiten, eBook
Reihe: Lecture Notes on Numerical Methods in Engineering and Sciences
Yagawa / Oishi Computational Mechanics with Deep Learning
Erscheinungsjahr 2022
ISBN: 978-3-031-11847-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
An Introduction
E-Book, Englisch, 402 Seiten, eBook
Reihe: Lecture Notes on Numerical Methods in Engineering and Sciences
ISBN: 978-3-031-11847-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Graduate
Autoren/Hrsg.
Weitere Infos & Material
1. Overview.- 2. Mathematical Background for Deep Learning.- 3. Computational Mechanics with Deep Learning.- 4. Numerical Quadrature with Deep Learning.- 5. Improvement of Finite Element Solutions with Deep Learning.- 6. Contact Mechanics with Deep Learning.- 7. Flow Simulation with Deep Learning.- 8. Further Applications with Deep Learning.- 9. Bases for Computer Programming.- 10. Computer Programming for a Representative Problem.