Computational Mechanics with Neural Networks
Springer International Publishing (Verlag)
978-3-030-66110-6 (ISBN)
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.
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.
| Erscheinungsdatum | 08.04.2021 |
|---|---|
| Reihe/Serie | Lecture Notes on Numerical Methods in Engineering and Sciences |
| Zusatzinfo | XII, 228 p. 79 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 529 g |
| Themenwelt | Technik ► Maschinenbau |
| Schlagworte | Computers and Network • Deep learning • neural network • numerical quadrature • Viscoplastic Constitutive Equations |
| ISBN-10 | 3-030-66110-5 / 3030661105 |
| ISBN-13 | 978-3-030-66110-6 / 9783030661106 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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