Prediction of Mine Pressure Behavior in Working Face Based on Vector Basis

The vector-based method is a technique that analyzes and processes data by vectoring them. It represents data points as multidimensional vectors that can be calculated and compared in a high-dimensional space. This method has significant advantages in prediction, mainly in the ability to process high-dimensional data, the effect of capturing nonlinear relationships, and the high efficiency on large datasets. First, the vector-based method effectively handles high-dimensional data, is not limited by the data dimension, and is suitable for complex multivariate analysis. Second, it is able to capture the nonlinear relationships between the data and identify potential patterns and trends through computation and comparisons in a high-dimensional space. Finally, the high efficiency of vector-based methods on large datasets enables it to quickly process and analyze large amounts of data and improve the accuracy and reliability of prediction. These characteristics make the vector-based method particularly applicable in mine pressure appearance prediction, which can more accurately analyze ore pressure data, identify potential risks, and then improve the level of mine safety management.