Yagawa, Genki. <br/><br/>
Computational Mechanics with Neural Networks  [electronic resource] / 
by Genki Yagawa, Atsuya Oishi. 
 - 1st ed. 2021. 
 - XII, 228 p. 79 illus.  online resource. 
 - Lecture Notes on Numerical Methods in Engineering and Sciences,  1877-735X .
 - Lecture Notes on Numerical Methods in Engineering and Sciences, .
<br/><br/>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/><br/> 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. 
<br/><br/><label>ISBN: </label>9783030661113 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-66111-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mechanics, Applied.<br/>Neural networks (Computer science) .<br/>System theory.<br/>Machine learning.<br/>Engineering Mechanics.<br/>Mathematical Models of Cognitive Processes and Neural Networks.<br/>Complex Systems.<br/>Machine Learning.
<br/><br/><label>LC Class. No.: </label>TA349-359 
<br/><br/><label>Dewey Class. No.: </label>620.1