Application of optimal weight combination prediction method in subgrade settlement deformation prediction
The article uses mature equidistant GM(1,1)grey model and BP neural network model as prediction single models,calculates the weight of each single model through the optimal weight algorithm,and constructs a combined prediction model.Finally,taking the actual measurement data of roadbed settlement in a railway project under construction as an example,a combination prediction model was established and the prediction results of two single models were compared.The experimental results show that the prediction accuracy of the combination model is higher than that of the non equidistant grey model and BP neural network model in both the early and late stages of prediction,demonstrating the feasibility and applicability of the optimal weight combination prediction method in predicting roadbed settlement.
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