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Computational Sciences and Artificial Intelligence in Industry: New Digital Technologies for Solving Future Societal and Economical Challenges: Intelligent Systems, Control and Automation: Science and Engineering, cartea 76

Editat de Tero Tuovinen, Jacques Periaux, Pekka Neittaanmäki
en Limba Engleză Paperback – 21 aug 2022
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.
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Specificații

ISBN-13: 9783030707897
ISBN-10: 303070789X
Pagini: 275
Ilustrații: XV, 275 p. 94 illus., 71 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems, Control and Automation: Science and Engineering

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