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Computational Mechanics with Neural Networks: Lecture Notes on Numerical Methods in Engineering and Sciences

Autor Genki Yagawa, Atsuya Oishi
en Limba Engleză Hardback – 27 feb 2021
This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other machine learning method 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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Specificații

ISBN-13: 9783030661106
ISBN-10: 3030661105
Pagini: 228
Ilustrații: XII, 228 p. 79 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.52 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