Data Mining and Artificial Intelligence Applications in Engineering Geology and Geological Experimental Testing

How to effectively mine information on geological structures, soil mechanics, groundwater, etc. becomes a topic worth studying. This article combines data mining and artificial intelligence technology to solve the problems of data processing and decision support in engineering geology and geological experimental testing. The article collects a large amount of geological structure data, soil mechanics data and groundwater data, uses feature selection and extraction technology to extract the most representative and relevant features from the original data, and provides engineering geological decision support based on model prediction results, such as geological disaster early warning, land development assessment, etc. Experimental tests show that the recall rate of this method is as high as 98%. The use of machine learning algorithms and statistical models can more accurately predict soil mechanical parameters and groundwater level changes, providing strong support for engineering design and decision-making.