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   多元非线性 在 金属学及金属工艺 分类中 的翻译结果: 查询用时:0.159秒
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多元非线性
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  multivariant nonlinear
    The optimal arithmetic is selected. By the dummy experiment design, the multivariant nonlinear regression model between the blade final forging shape optimal objective function and the coordinate of the control points of the B-spline to describe the preform shape is built.
    借助于虚拟实验设计,建立了叶片终锻件形状优化目标函数与表示预成形毛坯形状的三次B样条曲线的控制点坐标之间的相关关系——多元非线性回归预测模型。
短句来源
    According to the content of this experiment, regression model with 4 factorial polynomial is applied to make a multivariant nonlinear regression analysis of data, multivariant nonlinear regression equation of electrical parameters to roughness and machining time is established, and practical technological parameters are acquired. This study provides proof of theoretical analysis for advanced master of technological rule of MWEDM.
    根据实验内容采用 4阶多项式回归模型对实验数据进行了多元非线性回归分析 ,建立了电参数对表面粗糙度和加工时间的多元非线性回归方程 ,获得了实用的工艺参数 ,为进一步掌握微细电火花线切割加工工艺规律提供了理论分析依据。
短句来源
    A mathematic model,which deals with the relationship between maximum temperature of thick plate butt multipass welding and weld heat input,interpass temperature,ambient temperature and the distance of measuring points to heat source center,was founded using multivariant nonlinear regression analysis.
    采用多元非线性回归的方法,建立了厚板对接多道焊的最高温度与焊接线能量、层间温度、环境温度以及测点到热源中心的距离之间的数学模型.
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  “多元非线性”译为未确定词的双语例句
    ZWZY5 system for prescription-design is of manifeld functions,such as drawing up a prescription plan for orthogonal design test,doing orthogonal regression and optimization operations, deriving regression equations of property targets,obtaining the optimization prescription,predicting properties of welding materials,working out the nonlinear regressions containing lots of unknown numbers,and gaining dozens of welding material prescriptions of a certain known property target.
    ZWZY5配方设计系统具有拟正交试验配方方案、进行正交回归设计、最优化计算、建立焊接材料性能指标回归方程,求得最优化配方,预报焊接材料性能,求解多元非线性回归方程,从而获得某一已知性能指标的多个焊接材料配方等功能。
短句来源
    In this paper, the mathematic model of copper yield stress in hot rolling was established by means of multiple non-linear curve fitting method.
    应用多元非线性曲线拟合的方法,建立了铜热轧变形抗力数学模型;
短句来源
    Linear, nonlinear regression analysis and RBF neural network were used to predict nugget strength based on the input vector which was constructed by factors inspected of electrode displacement signal.
    基于电极位移信号特征向量集合建立多元线性回归、多元非线性回归、RBF神经网络焊点接头强度预测模型,采用交叉有效性检验方法,检验预测模型的有效性。
短句来源
    By means of multiple non-linear curve fitting method, was established the mathematic model of rib reduction, which can be applied to production of rib reduction and size selection of cold-drawing materials.
    采用多元非线性曲线拟合的方法,建立了凸筋拉缩的数学模型,可用于凸筋拉缩量的预测及管坯规格的选择。
短句来源
    On the basis of the data obtained on Gleeble1500 Thermal Simulator,the predicting models for the relation between flow stress and deformation strain,strain rate and temperature for 50CrV4 have been developed with Artificial Neural Network method. Comparison with nonlinear regression method,the neural network gives better results. 
    以Gleeble_1500热模拟机得到的实验数据为基础,采用人工神经网络方法建立了50CrV4钢变形抗力与应变、应变速率和温度对应关系的预测模型,并与多元非线性回归模型比较,具有较高的精度。
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The optimistically calculating pouring parameters of castings are carried out using the multielement non-linear regression analyse. The regressive equation for ingate design are also established. Considering optimum pouring time to obtain perfect castings, a design program to determine the gating system of casting was developed.

采用多元非线性回归分析方法对铸件浇注工艺参数进行了优化设计,提出了铸件内浇道优化设计公式.在考虑能获得最佳铸件质量的浇注时间基础上,编制了铸件浇注系统辅助设计程序.

In this paper, stress conditions of rib reduction are presented and the influence of the process conditions on rib reduction is investigated. By means of multiple non-linear curve fitting method, was established the mathematic model of rib reduction, which can be applied to production of rib reduction and size selection of cold-drawing materials.

根据凸筋拉缩变形的力学条件,研究了工艺因素对凸筋拉缩的影响规律。采用多元非线性曲线拟合的方法,建立了凸筋拉缩的数学模型,可用于凸筋拉缩量的预测及管坯规格的选择。

An experiment was conducted for the hot metal deformation resistance of 09cuPRE,16Mn,Q235 grades using the thermal simulation testing machine.According to the effect of deformation temperature,velocity and degree on the deformation resistance,the computation model of deformation resistance was selected.The model parameters were determined through multi-element non-linear regression data processing,resulting in a model with higher fitting accuracy.Charts and tables worked out in accordance with the model can...

An experiment was conducted for the hot metal deformation resistance of 09cuPRE,16Mn,Q235 grades using the thermal simulation testing machine.According to the effect of deformation temperature,velocity and degree on the deformation resistance,the computation model of deformation resistance was selected.The model parameters were determined through multi-element non-linear regression data processing,resulting in a model with higher fitting accuracy.Charts and tables worked out in accordance with the model can be directly referred to.

介绍了09CuPRE,16Mn,Q235钢在热模拟试验机上完成热金属变形抗力试验的情况。就试验中变形温度、变形速度、变形程度对变形抗力的影响规律,选定了变形抗力计算模型,并通过多元非线性回归数据处理确定模型参数,该模型具有较高的拟合精度。根据模型整理出的图表可供直接查找使用。

 
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