Buch, Englisch, 228 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 371 g
Reihe: Lecture Notes on Numerical Methods in Engineering and Sciences
Buch, Englisch, 228 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 371 g
Reihe: Lecture Notes on Numerical Methods in Engineering and Sciences
ISBN: 978-3-030-66113-7
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
- Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
Weitere Infos & Material
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.
