Machine learning classifiers for modeling soil characteristics by geophysics investigations: a comparative study
To design geotechnical structures efficiently, it is important to examine soil's physical properties. Therefore, classifying soil with respect to geophysical parameters is an advantageous and popular approach. Novel, quick, cost, and time effective machine learning techniques can facilitate thi...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI,
2020-09.
|
| Subjects: | |
| Online Access: | Get fulltext |