本文将讨论综合运用非线性回归模型和时间序列分析的方法进行变形预报。
This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.
将热力耦合有限元方法与金属微观组织演变数学模型相结合，提出了热变形过程微观组织的数值预报方法。
By integrating the thermomechanical coupled FEM with mathematical model of microstructure evolution, the paper proposes a numerical prediction method for microstructure during hot deformation.
实例计算与比较结果表明，GRNN模型计算快、精度高，是进行多测点非线性变形监测预报的有效工具。
Example with survey data and compare with BP both showed that the GRNN model makes an effective way to forecast multi-point deformation with rapid calculation and high accuracy.
根据破裂模型和拉深变形力，导出了破裂极限预报与控制判据。
On the basis of the fracture model and the deep drawing deformation force. The fracture limit prediction and control criterion is calculated.
以本城轧辊弹性变形理论为基础，通过模型简化和离散化建立了板凸度预报模型、板形预测模型及板形控制反馈修正模型。
The predicted models of plate crown, the prediction and feedback models of plate shape are set up on the basis of Ben Cheng's elastic deformation theory by simplifying and discretizing the models.
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。
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.
本文根据现场实测巷道围岩位移量测信息，利用灰色GM(1,1)模型预测巷道位移未来的发展趋势，达到预测、预报巷道变形的目的。
According to field information, this paper USES GM (1, 1) to predict future displacement development tendency, so forecasting and predicting deformation is easy to obtain.
因此，动态灰色预测模型在大坝变形的预测预报中比静态预测模型具有更高的应用价值。
Therefore, the dynamic gray forecast model had higher value than static model in dam deformation forecast.
将粒子群算法引入大坝安全监控领域，并结合多元回归统计模型，建立基于粒子群算法的混凝土坝变形预报模型。
A concrete dam deformation forecasting model is established based on the particle swarm optimization (PSO) algorithm and the traditional multi-statistical regression model.
通过分析一维主轴热传导差分模型，建立起基于反馈原理的机床能量输入、输出的热变形预报模型。
By analyzing one-dimensional spindle heat conduction difference model, a model was set up based on the energy input, dissipation and thermal deformation of the spindle.
通过分析一维主轴热传导差分模型，建立起基于反馈原理的机床能量输入、输出的热变形预报模型。
By analyzing one-dimensional spindle heat conduction difference model, a model was set up based on the energy input, dissipation and thermal deformation of the spindle.
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