A ML strategy for the identification of optimal LPT design region and related blade shape-Reference-Cited by-同舟云学术

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A ML strategy for the identification of optimal LPT design region and related blade shape

Published:2024-05 Issue: Volume:148 Page:109118
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Petronio Daniele^ORCID,Paliotta Pietro,Lengani Davide^ORCID,Simoni Daniele

Publisher

Elsevier BV

Reference39 articles.

1. Regression shrinkage and selection via the lasso;Tibshirani;J. R. Stat. Soc. B,1996

2. Ridge regression: biased estimation for nonorthogonal problems;Hoerl;Technometrics,1970

3. Regularization and variable selection via the elastic net;Zou;J. R. Stat. Soc., Ser. B, Stat. Methodol.,2005

4. Modified formulation of laminar kinetic energy transition models by means of elastic-net of a big experimental database of separated flows;Simoni;Flow Turbul. Combust.,2020

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