Recurrent Neural Networks Considering Natural Conditions for Determination of the Reinforcement Degrees when Constructing Infrastructure Structures
In recent years, the use of AI has been promoted in the construction industry to solve labour shortages. This study focuses on determining the reinforcement degree when constructing a kind of infrastructure, which has required the empirical knowledge of experts, and proposes a machine learning method to automate the process. The target structure is divided into many sections, and the reinforcement degree for each section needs to be determined based on observation data.
Authors
- Yeboon Yun (ORCID: https://orcid.org/0000-0001-8694-7219)
- Keiji Tatsumi (ORCID: https://orcid.org/0000-0001-5514-5854)
- Haruhisa Miyahara
Institutions
- Kansai University (JP)
- The University of Osaka (JP)
Publication Details
- Journal
- Transactions of the Institute of Systems Control and Information Engineers
- Published
- 2024-09-15
- DOI
- https://doi.org/10.5687/iscie.37.237
- Primary Topic
- Geodetic Measurements and Engineering Structures
- Type
- article
- Field-Weighted Citation Impact
- 0.00