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Bayesian Machine Learning in Geotechnical Site Characterization - Challenges in Geotechnical and Rock Engineering Ching, Jianye (National Taiwan University, Taipei)
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Paredzamā piegāde . gada 24. sept. - . gada 8. okt.
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Bayesian Machine Learning in Geotechnical Site Characterization - Challenges in Geotechnical and Rock Engineering
Ching, Jianye (National Taiwan University, Taipei)
This presents recent advancements in probabilistic geotechnical site characterization. It reviews probability theories and models for cross correlation and spatial correlation, and presents methods for Bayesian parameter estimation and prediction. Use of these methods is demonstrated with geotechnical site characterization examples.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2025. gada 26. decembris |
| ISBN13 | 9781032314433 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 176 |
| Izmēri | 150 × 220 × 10 mm · 350 g |
| Valoda | Angļu |
