Application of Gradient Booting regression toward the Computational Fluid Dynamics in the Manufacturing industry

DOI

Bibliographic Information

Other Title
  • 勾配ブースティング回帰木を用いた製造業流体シミュレーションの高速化手法

Description

<p>A faster calculation of MPS (Moving Particle Semi-implicit) method which is a computational fluid dynamics in the Manufacturing industry is proposed. Proposed method surrogates the semi-implicit part of MPS by the Gradient boosting regression trees using 10 original features as inputs. Finally, we confirmed that the qualitative properties of the proposed method coincide with the conventional MPS method by simulations of the dam-break problem.</p>

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Keywords

Details 詳細情報について

  • CRID
    1390282763120128384
  • NII Article ID
    130007658745
  • DOI
    10.11517/pjsai.jsai2019.0_3q3j1304
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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