A stratigraphic classification estimation method by Artificial Neural Networks for Geotechnical Information Database
Satoshi Murakami · 2023
The purpose of this study is to confirm the applicability of Artificial Neural Networks for stratigraphic classification estimation. The study proposes a machine learning procedure in consideration with ununiformity of spatial density of investigation locations, their depth and different appearance frequency of soils. The proposed method has been applied to Geotechnical Information Database in Fukuoka plain, Japan. The results have shown the proposed method is extremely effective for stratigraphic classification estimation by Artificial Neural Networks.