Computational Mechanics with Neural Networks: Lecture Notes on Numerical Methods in Engineering and Sciences
Autor Genki Yagawa, Atsuya Oishien Limba Engleză Paperback – 27 feb 2022
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Specificații
ISBN-13: 9783030661137
ISBN-10: 303066113X
Ilustrații: XII, 228 p. 79 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.35 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes on Numerical Methods in Engineering and Sciences
Locul publicării:Cham, Switzerland
ISBN-10: 303066113X
Ilustrații: XII, 228 p. 79 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.35 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes on Numerical Methods in Engineering and Sciences
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
Discusses neural networks and the related methods in computational mechanics Presents the bases on computers and networks Highlights machine learning methods