Utilizing an Innovative Gaussian Process Regression Machine Learning Algorithm for Estimating Unconfined Compressive Strength Predictions
This article offers an advanced argument in using a Machine Learning algorithm known as Gaussian Process Regression to predict the UCS for mixtures of soils. In particular, this study constructs special GPR prediction models dedicated to estimating UCS with a high degree of precision. The article ca...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Bilijipub publisher
2025-06-01
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| Series: | Advances in Engineering and Intelligence Systems |
| Subjects: | |
| Online Access: | https://aeis.bilijipub.com/article_223837_902256962f64918ccae8008b2e9057ad.pdf |
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