Detection of Internal Defects in Concrete Structures Based on Machine Learning Using Hammering Response Data Containing Artificial Noise (Evaluation of Machine Learning Models with High Generalization Performance)-Reference-Cited by-同舟云学术

Detection of Internal Defects in Concrete Structures Based on Machine Learning Using Hammering Response Data Containing Artificial Noise (Evaluation of Machine Learning Models with High Generalization Performance)

Published:2024-07-15 Issue:7 Volume:73 Page:582-589
ISSN:0514-5163
Container-title:Journal of the Society of Materials Science, Japan
language:en
Short-container-title:J. Soc. Mat. Sci., Japan

Author:

YAMAMOTO Kazuki¹,KURAHASHI Takahiko²,MURAKAMI Yuki³,IKEDA Fujio⁴,YOKOTA Kazuya²,IHARA Ikuo²

Affiliation:

1. Dept. of Mechanical Engineering, Graduate School of Nagaoka University of Technology

2. Dept. of Mechanical Engineering, Institute of GIGAKU, Nagaoka University of Technology

3. Dept. of Civil Engineering, National Institute of Technology, Nagaoka College

4. Dept. of Mechanical Engineering, National Institute of Technology, Nagaoka College

Publisher

Society of Materials Science, Japan

Link

https://www.jstage.jst.go.jp/article/jsms/73/7/73_582/_pdf

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5. 5) A. Nouchi, Y. Murakami, T. Iyama, and F. Ikeda, ”Evaluation of defect area inside concrete structures by self-organizing map in hammering test with a fixed acquiring response signal position”, Proceedings of the Japan Concrete Institute, pp.1755-1760 (2018).