Computational Mechanics with Deep Learning An Introduction /
Yagawa, Genki.
Computational Mechanics with Deep Learning An Introduction / [electronic resource] : by Genki Yagawa, Atsuya Oishi. - 1st ed. 2023. - XIV, 402 p. 181 illus., 141 illus. in color. online resource. - Lecture Notes on Numerical Methods in Engineering and Sciences, 1877-735X . - Lecture Notes on Numerical Methods in Engineering and Sciences, .
Acceso multiusuario
1. Overview -- 2. Mathematical Background for Deep Learning -- 3. Computational Mechanics with Deep Learning -- 4. Numerical Quadrature with Deep Learning -- 5. Improvement of Finite Element Solutions with Deep Learning -- 6. Contact Mechanics with Deep Learning -- 7. Flow Simulation with Deep Learning -- 8. Further Applications with Deep Learning -- 9. Bases for Computer Programming -- 10. Computer Programming for a Representative Problem.
This book is intended for students, engineers, and researchers interested in both computational mechanics and deep learning. It presents the mathematical and computational foundations of Deep Learning with detailed mathematical formulas in an easy-to-understand manner. It also discusses various applications of Deep Learning in Computational Mechanics, with detailed explanations of the Computational Mechanics fundamentals selected there. Sample programs are included for the reader to try out in practice. This book is therefore useful for a wide range of readers interested in computational mechanics and deep learning.
9783031118470
Mechanics, Applied.
Computational intelligence.
Artificial intelligence.
Engineering Mechanics.
Computational Intelligence.
Artificial Intelligence.
TA349-359
620.1
Computational Mechanics with Deep Learning An Introduction / [electronic resource] : by Genki Yagawa, Atsuya Oishi. - 1st ed. 2023. - XIV, 402 p. 181 illus., 141 illus. in color. online resource. - Lecture Notes on Numerical Methods in Engineering and Sciences, 1877-735X . - Lecture Notes on Numerical Methods in Engineering and Sciences, .
Acceso multiusuario
1. Overview -- 2. Mathematical Background for Deep Learning -- 3. Computational Mechanics with Deep Learning -- 4. Numerical Quadrature with Deep Learning -- 5. Improvement of Finite Element Solutions with Deep Learning -- 6. Contact Mechanics with Deep Learning -- 7. Flow Simulation with Deep Learning -- 8. Further Applications with Deep Learning -- 9. Bases for Computer Programming -- 10. Computer Programming for a Representative Problem.
This book is intended for students, engineers, and researchers interested in both computational mechanics and deep learning. It presents the mathematical and computational foundations of Deep Learning with detailed mathematical formulas in an easy-to-understand manner. It also discusses various applications of Deep Learning in Computational Mechanics, with detailed explanations of the Computational Mechanics fundamentals selected there. Sample programs are included for the reader to try out in practice. This book is therefore useful for a wide range of readers interested in computational mechanics and deep learning.
9783031118470
Mechanics, Applied.
Computational intelligence.
Artificial intelligence.
Engineering Mechanics.
Computational Intelligence.
Artificial Intelligence.
TA349-359
620.1
