Computational Mechanics with Deep Learning Computational Mechanics with Deep Learning
Lecture Notes on Numerical Methods in Engineering and Sciences

Computational Mechanics with Deep Learning

An Introduction

    • US$69.99
    • US$69.99

출판사 설명

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.

출시일
2022년
10월 31일
언어
EN
영어
길이
416
페이지
출판사
Springer International Publishing
판매자
Springer Nature B.V.
크기
62.6
MB
Structural Analysis with the Finite Element Method. Linear Statics Structural Analysis with the Finite Element Method. Linear Statics
2010년
Computational Mechanics with Neural Networks Computational Mechanics with Neural Networks
2021년
Introduction to Nonlinear Thermomechanics of Solids Introduction to Nonlinear Thermomechanics of Solids
2016년
Resonant Tunneling Resonant Tunneling
2015년
Numerical Simulation of Mechanical Behavior of Composite Materials Numerical Simulation of Mechanical Behavior of Composite Materials
2014년
Nonlinear Dynamics of Structures Nonlinear Dynamics of Structures
2014년