Support vector machine classification applied to the parametric design of centrifugal pumps

DOI10.1080/0305215X.2017.1391801OpenAlexW2767355963MaRDI QIDQ5058880

Michele Marconcini, Elisa Riccietti, Andrea Arnone, M. Checcucci, J. Bellucci

Publication date: 23 December 2022

Published in: Engineering Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0305215x.2017.1391801

zbMATH Keywords

support vector machinesbinary classificationparametric designcentrifugal pumpsunbalanced datasete

Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX)

Uses Software

• LIBSVM

Cites Work

• A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM training
• 10.1162/153244302760185243
• Advanced Data Mining Techniques
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