dam deformation forecasting 大坝变形预测
short-term deformation forecasting 短期变形预测
At last,using the chosen eigenvector and kernel function build dam deformation forecasting model.
最后利用选定的特征向量及核函数建立大坝变形预测模型。
参考来源 - 基于支持向量机的大坝变形预测研究It is applied to practical deformation forecasting and has a more forcasting precision than GM(1,1) model.
并用该模型进行了实际的变形预测。
参考来源 - 等维新息神经网络模型在变形预测中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Time series analysis method is a main method by which deformation forecasting model is established in deformation measurements.
时间序列分析方法是建立变形测量预测模型的主要方法。
Aiming at the disadvantages of experience formula, the case-based SVM method for maximal deformation forecasting of surrounding rocks of tunnels is proposed.
针对经验公式方法的不足，提出基于工程实例的隧洞最大允许变形的支持向量机(SVM)自动获取方法。
The practice shows that deformation forecasting value can be in good agreement with measured results, and that the model can be applied in monitoring for dam safety.
实践表明，变形预报值能很好地吻合了实测结果，表明该模型可以用于大坝安全监控。
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