Schematic showing different bearing layer depths and its impact on foundation design. (IMAGE)

Shibaura Institute of Technology

Schematic showing different bearing layer depths and its impact on foundation design.

Caption

By including geographic coordinates, elevation, and stratigraphic information as input variables, researchers from Shibaura Institute of Technology have compared three different ML algorithms (RF, ANN, and SVM) for predicting the bearing layer depth. Compared to ANN and SVM, RF showed significantly higher prediction accuracy for the bearing layer depth.

Credit

Shinya Inazumi from Shibaura Institute of Technology Source Link: https://www.mdpi.com/2504-4990/7/3/69

Usage Restrictions

Credit must be given to the creator.

License

CC BY

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.