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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI
2020
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/91631/1/LimCheeSoon2020_MachineLearningClassifiersforModelingSoil.pdf http://eprints.utm.my/id/eprint/91631/ http://dx.doi.org/10.3390/APP10175734 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|