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Deep Learning for Fluid Simulation and Animation
- Fundamentals, Modeling, and Case Studies
Engelsk
Bogcover for Deep Learning for Fluid Simulation and Animation af Gilson Antonio Giraldi, Leandro Tavares da Silva, Antonio Lopes Apolinario Jr., Liliane Rodrigues de Almeida, 9783031423321
Specifikationer
Sprog:
Engelsk
Sider:
164
ISBN-13:
9783031423321
Indbinding:
Paperback
ISBN-10:
3031423321
Udg. Dato:
25 nov 2023
Størrelse i cm:
23,5 x 15,5
Oplagsdato:
25 nov 2023

Deep Learning for Fluid Simulation and Animation

- Fundamentals, Modeling, and Case Studies
Engelsk
Paperback 2023
Format:

Bog beskrivelse
This book is an introduction to the use of machine learning and data-driven approaches in fluid simulation and animation, as an alternative to traditional modeling techniques based on partial differential equations and numerical methods – and at a lower computational cost. This work starts with a brief review of computability theory, aimed to convince the reader – more specifically, researchers of more traditional areas of mathematical modeling – about the power of neural computing in fluid animations. In these initial chapters, fluid modeling through Navier-Stokes equations and numerical methods are also discussed. The following chapters explore the advantages of the neural networks approach and show the building blocks of neural networks for fluid simulation. They cover aspects related to training data, data augmentation, and testing. The volume completes with two case studies, one involving Lagrangian simulation of fluids using convolutional neural networks and the other using Generative Adversarial Networks (GANs) approaches.
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Specifikationer
Sprog:
Engelsk
Sider:
164
ISBN-13:
9783031423321
Indbinding:
Paperback
ISBN-10:
3031423321
Udg. Dato:
25 nov 2023
Størrelse i cm:
23,5 x 15,5
Oplagsdato:
25 nov 2023
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