Figure5

Simple formula learned via machine learning for creep rupture life prediction of high-temperature titanium alloys

Figure 5. Extrapolation performance of the MLR models with three features on the seven data divisions. (A) RT $$ > $$ 100 h; (B) RT $$ > $$ 150 h; (C) RT $$ > $$ 200 h; (D) RT $$ > $$ 300 h; (E) RT $$ > $$ 400 h; (F) RT $$ > $$ 700 h; and (G) RT $$ > $$ 1, 000 h. MLR: Multiple linear regression; RT: creep rupture life.

Journal of Materials Informatics
ISSN 2770-372X (Online)
Follow Us

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/