Tetsu-to-Hagane
Online ISSN : 1883-2954
Print ISSN : 0021-1575
ISSN-L : 0021-1575

This article has now been updated. Please use the final version.

Sparse Modelling to Screen Microstructural Factors Dominantly Controlling a Stress-strain Curve of DP Steels
Shogo Hirokawa, Shigeki Taguchi, Yasuhiro Matsushita, Yoshitaka Adachi
Author information
Keywords: sensitive analysis, data transformation, variable selection, genetic algorism, bayesian inference, sparse modelling, descriptor screening, materials genome, DP steel, stress-strain curve
JOURNAL OPEN ACCESS Advance online publication

Article ID: TETSU-2017-003

The final version of this article is now available: Vol. 103 (2017), No. 8 pp. 468-474
Details
Download PDF (1049K)
Download citation RIS

(compatible with EndNote, Reference Manager, ProCite, RefWorks)

BIB TEX

(compatible with BibDesk, LaTeX)

Text
How to download citation
Contact us
Abstract

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.

Content from these authors
© 2017 The Iron and Steel Institute of Japan
Favorites & Alerts

Recently viewed articles
Predecessor

Tetsu-to-Hagane

Share this page
feedback
 Top