Cantitate/Preț
Produs

Computational Sciences and Artificial Intelligence in Industry

Editat de Tero Tuovinen, Jacques Periaux, Pekka Neittaanmäki
en Limba Engleză Hardback – 20 aug 2021
This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 122194 lei  6-8 săpt.
  Springer International Publishing – 21 aug 2022 122194 lei  6-8 săpt.
Hardback (1) 122870 lei  6-8 săpt.
  Springer – 20 aug 2021 122870 lei  6-8 săpt.

Preț: 122870 lei

Preț vechi: 153587 lei
-20% Nou

Puncte Express: 1843

Preț estimativ în valută:
21739 25326$ 18984£

Carte tipărită la comandă

Livrare economică 17-31 ianuarie 26

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030707866
ISBN-10: 3030707865
Pagini: 292
Ilustrații: XV, 275 p. 94 illus., 71 illus. in color.
Dimensiuni: 160 x 241 x 22 mm
Greutate: 0.61 kg
Ediția:1st ed. 2022
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

Chapter 1. Co-development of Methodology, Applications,and Hardware in Computational Science and Artificial Intelligence​.- Chapter 2. Novel Strategies for Data-driven Evolutionary Optimization.- Chapter 3. Artificial Intelligence and Computational Science.- Chapter 4. Supervised Learning and Applied Mathematics.- Chapter 5. Application of the Topological Gradient to Parsimonious Neural Networks.- Chapter 6. Generation of Error Indicators for Partial Differential Equations by Machine Learning Methods.- Chapter 7. Newton Method for Minimal Learning Machine.




Notă biografică



Textul de pe ultima copertă

This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.​

Caracteristici

Reports support vector machines in clusterwise linear regression Presents similarity solutions for condensation on a non-isothermal vertical plate Provides a second-order method with enriched hessian information for composite sparse optimization problems