Computational Mechanics with Neural Networks [electronic resource] / by Genki Yagawa, Atsuya Oishi.
By: Yagawa, Genki [author.]
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Contributor(s): Oishi, Atsuya [author.]
| SpringerLink (Online service)
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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.
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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