Application of Deep-Learning for Classification of Fracture Surface’s SEM Image.-Reference-Cited by-同舟云学术

Application of Deep-Learning for Classification of Fracture Surface’s SEM Image.

Published:2020-09-15 Issue:9 Volume:69 Page:644-649
ISSN:0514-5163
Container-title:Journal of the Society of Materials Science, Japan
language:en
Short-container-title:J. Soc. Mat. Sci., Japan

Author:

YAMAGIWA Kenta¹

Affiliation:

1. National Institute for Occupational Safety and Health

Publisher

Society of Materials Science, Japan

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Link

https://www.jstage.jst.go.jp/article/jsms/69/9/69_644/_pdf

Reference11 articles.

1. 1) T. Okatani, “Shinsou Gakusyu”, Koudansha(2015).

2. 2) K. Komai, K. Minoshima and M. Koyama: "Development of Diagnostic Expert System for Environmentally Induced Cracking and Importance Evaluation of Knowledge" Trans. JSME, Series A. Vol.57. 188-194 (1991).

3. 3) Y. Adachi, et. al., “Microstructure Recognition by Deep Learning”, Tetsu-to-Hagane, Vol.12 (2016), No.12, pp. 62-69.

4. 4) Tensorflow, https://www.tensorflow.org/

5. 5) K. Ariyama, “Tensorflow hajimemashita”, NextPublishing.

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