智能城市2024，Vol.10Issue(2)：97-100,4.DOI:10.19301/j.cnki.zncs.2024.02.030
最优权组合预测法在路基沉降变形预测中的应用
Application of optimal weight combination prediction method in subgrade settlement deformation prediction
李文威1
作者信息
- 1. 中铁二院工程集团有限责任公司,四川 成都 610031
- 折叠
摘要
Abstract
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.关键词
路基沉降/非等间隔灰色模型,神经网络模型/最优权算法Key words
roadbed settlement/non equidistant grey model/neural network model/optimal weight algorithm分类
天文与地球科学引用本文复制引用
李文威..最优权组合预测法在路基沉降变形预测中的应用[J].智能城市,2024,10(2):97-100,4.
