Novel approach to predicting soil permeability coefficient using Gaussian process regression
In the design stage of construction projects, determining the soil permeability coefficient is one of the most important steps in assessing groundwater, infiltration, runoff, and drainage. In this study, various kernel-function-based Gaussian process regression models were developed to estimate the...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Published: |
MDPI
2022
|
| Subjects: | |
| Online Access: | http://eprints.um.edu.my/41646/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|