mean function

In the other side, to recurrent event datas, because the mean function of the recurrent event datas is more significant than the intensity function.

另一方面，对复发事件数据而言，由于复发事件的均值函数比强度函数更具有解释意义，因此学者们对均值函数或比率函数进行了建模。

Image Compression of BP Neural Network with Hyperbolic Tangent Non-linear Function and Adding Mean Quantization Algorithm

双曲正切非线性函数和加均值量化算法对BP神经网络图像压缩处理的影响

Google was able to use this knowledge to offer a did you mean function in search, eventually completing queries before people were finished typing.

有了这种了解，谷歌在搜索中提供了您是不是想找的功能，最终做到了在人们完成输入之前，就将问题补充完整。

Application of Mean Generating Function-Optimal Subset Regression to the Prediction of High Temperature Extremes

均生函数&最优子集回归在高温极值预测中的应用

High frequency components were filtered out from monthly mean time series by the use of Gauss filter which has a reliable technical function, and then linear regression was applied to estimate the secular trends in RSL changes.

并设计了技术性能可靠的高斯滤波器，对月均验潮序列进行低通数字滤波，由低通序列进行一元线性回归分析来确定海平面的变化趋势。

TRENDS This method can also be used to determine the mean function of time series.

该方法也可用于确定时间序列的均值函数（趋势项）

We study the process of rapid quenching of the liquid iron at 2200K through 2000K, 1800K, 1600K to 1400K and then obtain the statistical analysis of the pair distribution function, mean square displacement, correlation and the Voronoi polyhedra at the temperature equilibrium state.

研究了液态铁在2200K下淬火，经过2000K、1800K、1600K至1400K的过程，并统计分析了各温度平衡态的双体分布函数、均方位移、配位数、及对Voronoi多面体进行分析。

In many statistical models, the estimate of unknown mean function or of unknown condition mean of function is often considered.

在很多统计回归模型中，都涉及到对未知均值函数或者对某已知函数的未知条件数学期望的估计。

In the process of identification, a search method is presented that the K-mean theory in pattern recognition is used in the cost function, which can promote the efficiency of identification.

辨识过程中，提出一种将模式识别中的K平均理论应用于代价函数搜索的方法，提高辨识效率。

First, we obtain the spline estimator of the conditional mean function.

首先，我们采用样条光滑法得到条件均值函数的样条估计。

Yield Criterion Based on the Mean Function of Tresca and Twin Shear Stress Yield Functions

依赖Tresca和双剪应力屈服函数均值的屈服准则

The forecast accuracy of neural network can be increased by inputting different weighted value in mean function, according to the contributions of the time sequence data to forecast values.

依据时间序列数据的新旧程度对预测值贡献的大小，通过均值函数赋给输入数据不同的权值系数，提高了神经网络的预测精度。