This study uses ANN-based lower upper bound estimation (LUBE) method for construction of prediction intervals (PIs) at different confidence levels (CL) for the compressive strength of concrete for the first time. For the purpose of this study, an experimental study is done to prepare the required database from different mix designs of concrete. The results of this study demonstrate efficiency of the LUBE method for the three CLs considered of 85%, 90% and 95% in which the values of prediction interval coverage probability (PICP) are all greater or equal than CLs, which indicates that the ANN-based LUBE method can produce PIs with a reliable coverage probability. In addition, with average interval width index of 34.0% and the average failure distance index of 3.7% for three confidence levels, LUBE represents a more reliable and informative than exact point predictions for the compressive strength data in the test data set.

本研究首次使用基于 ANN 的下上限估计 (LUBE) 方法构建不同置信水平 (CL) 的混凝土抗压强度预测区间 (PI)。出于本研究的目的，进行了一项实验研究，以从不同的混凝土配合比设计中准备所需的数据库。本研究的结果证明了 LUBE 方法对 85%、90% 和 95% 三个 CLs 的效率，其中预测区间覆盖概率 (PICP) 的值都大于或等于 CLs，这表明 ANN基于 LUBE 方法可以产生具有可靠覆盖概率的 PI。此外，三个置信水平的平均区间宽度指数为 34.0%，平均失效距离指数为 3.7%，