Genki Yagawa, Atsuya Oishi

Computational Mechanics with Neural Networks (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other machine learning methods 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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 228
• Erscheinungstermin: 26. Februar 2021
• Englisch
• ISBN-13: 9783030661113
• Artikelnr.: 61293993

Inhaltsangabe

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.