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A Gentle Introduction to Data, Learning, and Model Order Reduction Techniques and Twinning Methodologies /

A Gentle Introduction to Data, Learning, and Model Order Reduction Techniques and Twinning Methodologies /

Bibliografski detalji
Glavni autori: Chinesta, Francisco (Autor), Cueto, Elías (Autor), Champaney, Victor (Autor), Ghnatios, Chady (Autor), Ammar, Amine (Autor), Hascoët, Nicolas (Autor), González, David (Autor), Alfaro, Icíar (Autor), Di Lorenzo, Daniele (Autor), Pasquale, Angelo (Autor), Baillargeat, Dominique (Autor)
Autor kompanije: SpringerLink (Online service)
Sažetak:XVI, 227 p. 33 illus., 29 illus. in color.
text
Jezik:engleski
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Izdanje:1st ed. 2025.
Serija:Studies in Big Data, 174
Teme:
Computational intelligence.
Mathematics > Data processing.
Machine learning.
Computational Intelligence.
Computational Science and Engineering.
Machine Learning.
Online pristup:https://doi.org/10.1007/978-3-031-87572-4
Format: Elektronički Knjiga
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Internet

https://doi.org/10.1007/978-3-031-87572-4

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  • Federated Learning Systems Towards Next-Generation AI /
    Izdano: (2021)
  • Innovations in Biomedical Engineering
    Izdano: (2019)
  • Metaheuristics in Machine Learning: Theory and Applications
    Izdano: (2021)