Utilizing the NEEP Model to Predict the Compressive Strength of Cement

In the construction industry, cement is widely used, and its quality standards are particularly stringent. Among these standards, the compressive strength of cement is one of the most crucial quality indicators. However, existing measurement methods are time-consuming and resource-intensive. This study adopts an innovative symbolic regression methodology to swiftly evaluate cement's compressive strength for quality assessment, even prior to the initiation of the hydration process. Additionally, it facilitates parameter analysis to explore the impact of cement raw material ratios on compressive strength. Additionally, it allows for parameter analysis, enabling research into the impact of cement raw material ratios on compressive strength. Experimental results demonstrate that this algorithm accurately predicts strength and exhibits excellent generalization capabilities.