Computational Mechanics with Neural Networks
Yagawa, G. 1942-
Computational Mechanics with Neural Networks by Genki Yagawa, Atsuya Oishi. - First edition 2021 - 1 recurso en línea (XII, 228 páginas) 79 ilustraciones - Lecture Notes on Numerical Methods in Engineering and Sciences 1877-7341 Engineering (SpringerNature-11647) Engineering (R0) (SpringerNature-43712) .
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.
9783030661113
10.1007/978-3-030-66111-3 doi
Ingeniería mecánica
TJ145 / 2021 EB
Computational Mechanics with Neural Networks by Genki Yagawa, Atsuya Oishi. - First edition 2021 - 1 recurso en línea (XII, 228 páginas) 79 ilustraciones - Lecture Notes on Numerical Methods in Engineering and Sciences 1877-7341 Engineering (SpringerNature-11647) Engineering (R0) (SpringerNature-43712) .
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.
9783030661113
10.1007/978-3-030-66111-3 doi
Ingeniería mecánica
TJ145 / 2021 EB