Details

Computational Mechanics with Neural Networks

Lecture Notes on Numerical Methods in Engineering and Sciences

von: Genki Yagawa, Atsuya Oishi
171,19 €
Verlag:	Springer
Format:	PDF
Veröffentl.:	26.02.2021
ISBN/EAN:	9783030661113
Sprache:	englisch

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Beschreibungen

Titelbeschreibung

<p>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.</p>

Inhaltsverzeichnis

<div>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.<br></div>

Back cover copy

<p>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.</p>

Sonderbeitrag

Discusses neural networks and the related methods in computational mechanics Presents the bases on computers and networks Highlights machine learning methods