Custom cover image
Custom cover image

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

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Intelligent Systems, Control and Automation: Science and Engineering ; 76Publisher: Cham : Springer International Publishing, 2022Publisher: Cham : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(XV, 275 p. 94 illus., 71 illus. in color.)ISBN:
  • 9783030707873
Subject(s): Additional physical formats: 9783030707866 | 9783030707880 | 9783030707897 | Erscheint auch als: 9783030707866 Druck-Ausgabe | Erscheint auch als: 9783030707880 Druck-Ausgabe | Erscheint auch als: 9783030707897 Druck-AusgabeDDC classification:
  • 006.3 23
DOI: DOI: 10.1007/978-3-030-70787-3Online resources: Summary: 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.PPN: PPN: 1769723145Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT
No physical items for this record
KIT – The University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT