The number of researches on the mechanical properties of cemented sand and gravel (CSG) materials and the application
of the CSG Dam has been increased. In order to explain the technical scheme of strength prediction model about the artificial neural
network, we obtained the sample data by orthogonal test using the PVA (Polyvinyl alcohol) fiber, different amount of cementing
materials and age, and established the efficient evaluation and prediction system. Combined with the analysis about the importance
of influence factors, the prediction accuracy was above 95%. This provides the scientific theory for the further application of CSG,
and will also be the foundation to apply the artificial neural network theory further in water conservancy project for the future.
