インフラ構造物建設時の補強度合決定問題に対する自然状況を考慮したリカレントニューラルネットワーク
宮原 春久, 巽 啓司, 尹 禮分
pp. 237-246
DOI:
10.5687/iscie.37.237抄録
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.