And In order to extract gaze features, the Generalized Regression Neural Networks is used for gaze position prediction;
使用了广义回归神经网络预测视线的位置，从而提取视线运动参数；
The generalized regression neural network(GRNN) and the genetic algorithm(GA) are regarded as the artificial intelligence techniques.
广义回归神经网络（GRNN）和遗传算法（GA）都是在模拟人的生理活动进而提出的人工智能技术。
Then, combining IMD-Isomap and generalized regression neural network, which has a good ability for approximation, a classifier is proposed.
然后，结合泛化回归神经网络，设计出一种分类器。
This case USES combined with fuzzy clustering and generalized regression neural network clustering algorithm for intrusion data classification.
本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。
The features of two methods, i. e. least square support vector machine (LSSVM) and generalized regression neural network (GRNN) are compared and analyzed.
比较分析了最小二乘支持向量机（LSSVM）和广义回归神经网络（GRNN）这两种方法的特点。
The proposed model-calibration estimators can handle any linear or nonlinear working models and reduce to the generalized regression estimators in the linear model case.
建议的模型校正估计可以处理任何线性或非线性的工作模型，且在线性模型的情形下变为广义回归估计。
The RBF network function approximation theory and method are introduced, and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).
介绍了径向基函数网络的函数逼近原理和方法，提出了一种基于广义回归神经网络（GRNN）的传感器非线性误差校正方法。
Aimed at solving the challenging problem of diagnosis for sensor bias and drift faults, a novel approach of sensor fault diagnosis based on generalized regression neural network (GRNN) is proposed.
针对诊断传感器偏置故障与漂移故障的难点问题，提出了一种基于广义回归神经网络(GRNN)的传感器故障诊断方法。
Generalized Estimation Equation (GEE) was used to estimate parameters of poisson regression model.
采用了通用估计方程(GEE)方法对泊松回归模型进行参数估计。
Methods Generalized estimating equation 2 (GEE2) was employed to estimating both regression coefficients and the familial correlation.
方法应用广义估计方程2 (GEE2)估计数量性状的均数结构和关联结构的边际回归模型。
This paper studies linear regression models with dependent errors, and we introduce the jackknifed least squares estimator and generalized jackknife least squares estimator.
在误差为相依的情况下，讨论了线性回归模型的刀切最小二乘估计与广义刀切最小二乘估计。
We adopt the idea of cointegration and apply the methods that are more generalized than cointegration regression to study the Statistical Arbitrage Models of the securities.
本文借鉴协整的思想，并采用比协整回归更一般化的方法来研究股票之间的统计套利模型。
Marginal regression model and its associated generalized estimating equation (GEE) are becoming increasingly being used in longitudinal studies.
边际回归模型和与此有关的广义估计方程(GEE)在纵向数据分析中得到了广泛的应用。
Bayesian modeling and inference for generalized linear models, accelerated life failure models, Cox regression models and piecewise exponential models.
贝叶斯推理的模型和广义线性模型，加速寿命故障模式，Cox回归模型和分段指数模型。
The 0-K class of estimators if studied, it will be proved that under the mean square residua criterion the estimators can be improved via the generalized ridge regression technique.
研究这一估计的性质，证明利用0-K型广义岭估计技术可以改进广义岭估计（在均方残差意义下）。
The 0-K class of estimators if studied, it will be proved that under the mean square residua criterion the estimators can be improved via the generalized ridge regression technique.
研究这一估计的性质，证明利用0-K型广义岭估计技术可以改进广义岭估计（在均方残差意义下）。
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