Revolutionary Regression Model Predicts Slope Deformation for Safer Infrastructure
The researchers used a stepwise regression algorithm to predict slope deformation by analyzing factors like time, rainfall, and temperature. They created a statistical model using Matlab software and found that it accurately reflected the slope deformation and its trend. The model showed good agreement with measured values, indicating its effectiveness in monitoring slope safety and predicting deformation trends.