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Computational Sciences and Artificial Intelligence in Industry : New Digital Technologies for Solving Future Societal and Economical Challenges / edited by Tero Tuovinen, Jacques Periaux, Pekka Neittaanmäki

Material type: materialTypeLabelE-bookSeries: (Intelligent Systems Control and Automation: Science and Engineering, 2213-8994 ; 76).Publisher: Cham : Springer International Publishing,, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XV, 275 páginas) : 94 ilustraciones, 71 ilustraciones a color.ISBN: 9783030707873.Subject: Inteligencia artificialOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Summary: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería Q334 2022 EB (Browse shelf(Opens below)) Acceso electrónico eBook.09012085
Total holds: 0

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.

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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