Calibration of soil parameters based on intelligent algorithm using efficient sampling method
This study combined a neural network and Latin hypercube sampling (LHS) to calibrate soil parameters. The Monte Carlo parameters were calibrated by generating different numbers of training samples for pressuremeter tests and excavations. The results showed that when the number of samples was 25 or 5...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2021-06-01
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| Series: | Underground Space |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2467967419300443 |