Introductory Robotics
General:
Name: Introductory Robotics
Format: pdf
Size: 5.21 MB
Book:
Title: Deep Learning in Computational Mechanics
Author: Leon Herrmann
Language: polski
Year: 2025
Subjects: Computer Technology, Technology, Engineering, Nonfiction
Publisher: Springer International Publishing
ISBN: 9783031895289
Total pages: 157
Description:
This book provides a first course without requiring prerequisite knowledge. Fundamental concepts of machine learning are introduced before explaining neural networks. With this knowledge, prominent topics in deep learning for simulation are explored. These include surrogate modeling, physics-informed neural networks, generative artificial intelligence, Hamiltonian/Lagrangian neural networks, input convex neural networks, and more general machine learning techniques.
The idea of the book is to provide basic concepts as simple as possible but in a mathematically sound manner. Starting point are one-dimensional examples including elasticity, plasticity, heat evolution, or wave propagation. The concepts are then expanded to state-of-the-art applications in material modeling, generative artificial intelligence, topology optimization, defect detection, and inverse problems.
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