Research on Slope Displacement Prediction of Open-Pit Mine Based on SSA-BP
Aiming at the limitations of traditional BP neural network in predicting slope displacement and deformation in open-pit mines,a slope displacement and deformation prediction model based on the combination of sparrow search algorithm(SSA)and BP neural network was constructed.First,Sparrow search algorithm was used to optimize the weight and threshold of traditional BP neural network.Then the BP neural network algorithm(SSA-BP)optimized by Sparrow search algorithm is applied to the prediction of slope displacement in open-pit mine.To verify the feasibility of the algorithm,the SSA-BP prediction model was compared with the WOA-BP,BP and Elman prediction models for slope displacement and deformation of open-pit mine.The experimental results showed that compared with the other three models,the SSA-BP prediction model hadbetter iteration speed and optimization ability for slope displacement and deformation prediction.According to the prediction accuracy evaluation index,the R2,RMSE,MAPE,MAE and MSE of SSA-BP algorithm wereobviously superior to the other three groups of algorithms.It provides a new idea and method for slope displacement and deformation prediction in open-pit mine.
open-pit minesslope displacementsparrow search algorithmBP neural networkprediction model
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