Sparse Modelling to Screen Microstructural Factors Dominantly Controlling a Stress-strain Curve of DP Steels
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- Hirokawa Shogo
- Department of Mechanical Engineering, Kagoshima University
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- Taguchi Shigeki
- Department of Mechanical Engineering, Kagoshima University
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- Matsushita Yasuhiro
- SET Software Corporation
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- Adachi Yoshitaka
- Department of Mechanical Engineering, Kagoshima University
Bibliographic Information
- Other Title
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- DP鋼の応力−ひずみ曲線を支配する組織因子のスパース学習
- DP鋼の応力 : ひずみ曲線を支配する組織因子のスパース学習
- DPコウ ノ オウリョク : ヒズミ キョクセン オ シハイ スル ソシキ インシ ノ スパース ガクシュウ
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Abstract
<p>Screening important microstructure factors dominantly controlling a stress-strain curve of a dual phase steel was studied by three kinds of sparse modelling approach; Sensitive analysis, data transformation & variable selection, and Bayesian inference. In addition, an effect of data noise on descriptor screening in sparse modelling was also investigated.</p>
Journal
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- Tetsu-to-Hagane
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Tetsu-to-Hagane 103 (8), 468-474, 2017
The Iron and Steel Institute of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390001205215479552
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- NII Article ID
- 130005874107
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- NII Book ID
- AN00151251
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- ISSN
- 18832954
- 00211575
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- NDL BIB ID
- 028446711
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed