| Status | 已發表Published |
| Prediction on Uniaxial Compressive Strength of Rock: Bayesian Inference and Outlier Analysis | |
Mu, H.Q.; Yuen, K. V. ; Ng, I. T.
| |
| 2017-06-01 | |
| Source Publication | International Conference on Structural Safety and Reliability (ICOSSAR) 2017
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| Abstract | This study conducts a two-stage analysis of model development and prediction for the uniaxial compressive strength (UCS) estimation. In the first stage, the optimal predictive model is developed based on the training dataset, using Bayesian infer-ence with the automatic relevance determination (ARD) prior. In the second stage, based on the optimal predictive model of the first stage, outlier analysis for model prediction reliability assessment is performed for the test datasets. The results show that the model for the Grade III granite depends on the point load index, P-wave velocity, effective porosity, and this model is not fully applicable to the prediction on the Grade I & II granite. |
| Keyword | Bayesian outlier |
| Language | 英語English |
| The Source to Article | PB_Publication |
| PUB ID | 33664 |
| Document Type | Conference paper |
| Collection | GRADUATE SCHOOL |
| Recommended Citation GB/T 7714 | Mu, H.Q.,Yuen, K. V.,Ng, I. T.. Prediction on Uniaxial Compressive Strength of Rock: Bayesian Inference and Outlier Analysis[C], 2017. |
| APA | Mu, H.Q.., Yuen, K. V.., & Ng, I. T. (2017). Prediction on Uniaxial Compressive Strength of Rock: Bayesian Inference and Outlier Analysis. International Conference on Structural Safety and Reliability (ICOSSAR) 2017. |
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