ridge regression造句

• Ridge regression learning in esn for chaotic time series prediction
  岭回归学习算法及混沌时间序列预测
• Nonlinear ridge regression modeling method based on radial basis function and its simulation research
  基于径向基函数的非线性岭回归方法及仿真研究
• Genetic algorithm optimization based nonlinear ridge regression modeling method and its application in soft measurement
  优化的非线性岭回归方法及其在软测量中的应用
• The problem of multivariate regression is resolved by ridge regression analysis , as there are multiple collinearity among the independent variables
  摘要应用岭回归分析可以解决自变量之间存在复共线性时的回归问题。
• This article gives a program of ridge regression with sas6 . 11 version , and illustrate the method of the ridge regression by an example
  本文给出了在sas6 . 11及以上版本中实现岭回归分析的程序，用具体实例说明进行岭回归的方法。
• Ridge regression analysis is modified least - squares estimation . it can offer a stable forecasting when there is strong correlation between variables
  岭回归分析是一种修正的最小二乘估计法,当自变量系统中存在多重相关性时,它可以提供一个更为稳定的预测。
• It is important to apply influence analysis , computing of correlation - conefficient and charactrestic value of the design matrix and ridge regression to set models . the quality of model is developed
  数据分析：影响分析和设计矩阵的相关系数和特征值计算及岭回归技术的应用对改进模型的品质起到了重要作用。
• Based on multi - factor orthogonal designed field experiment , the ridge regression models of seed yield components and seed yield of the 6 grass species are founded through ridge regression analysis with big samples
  摘要采用多区组多因素正交试验设计，通过大样本岭回归分析求出6种禾本科牧草种子产量因子与产量的岭回归模型。
• The results of a series of ridge regression models constitute the core of the thesis , based on which some instructive conclusions and suggestions are achieved , as to the development strategy of r & d in china ’ s manufacturing industries
  根据实证研究的结果,本文就目前我国制造业的r & d发展战略,特别是在r & d人力资源的优化配置等方面,提出了一些具有启发性的政策建议。
• Meanwhile some statistics methods such as , anova and ridge regression were used to discuss the structure , relation types and strength of adolescent social networks , which resulted in great impact on adolescence interpersonal relationship
  本研究结合使用方差、回归等统计分析方法探讨青少年的社会网络构成、社会网络关系类型、社会网络关系力量以及青少年的社会网络规模与关系力量对青少年人际关系的影响。
• The main research contents include : 1 、 this paper constructs the mixed collaborative sale forecasting model based on cpfr via integrating time series forecasting , multivariate regression and ridge regression . in addition , the model takes sale information as explanation variable
  具体研究内容包括: 1 、将时间序列预测、多元回归、岭回归相结合,并将销售信息作为销售量的解释变量,构建了cpfr流程下的混合协同预测模型。
• In this paper , an integral scheme of 16 position error calibration and autonomous alignment for three axis platform is given . it may calibrate 33 errors in all . first , determine parameters with least square estimate , then bayes method , ridge regression estimation were discussed separately
  本文设计了一个十六位置误差标定方案,可以分离出总计33项误差,首先用最小二乘估计方法进行参数辨识,而后,分别研究了基于bayes方法的误差系数辨识,基于岭估计的误差系数辨识。
• However , there have still some unresolved problems : first , how to determine the number and size of the clusters automatically during the clustering process . second , how to utilize the " local " ridge regression method which including multiple regularization parameters in learning rbf network . third , those clusters in irregular form ca n ' t represented by radial basis function , thus we must find some other basis functions that can describe the irregular form
  但是仍然存在几个问题尚待解决：首先，聚类时怎样自动确定簇的个数和半径；其次，如何利用含有多个正规化参数的局部岭回归方法进行rbf网络学习；第三，如果簇的形状是不规则的，则它很难用径向基函数来描述，因此需要研究其它能代表不规则形状的簇的基函数。
• Define a radial basis function ( rbf ) at center of each cluster and learning a two - layer neural network which consists of these rbfs , simultaneously , for the purpose of avoiding over - fitting , we make use of ridge regression method , which adding a weight penalty term including a appropriate regularization parameter on the cost function and then lead to a more smooth function
  为每一个簇的中心定义相应的径向基函数( radialbasisfunction ， rbf ) ，再对这些径向基函数构成的两层神经网络进行训练，同时，为了避免产生过度拟合现象，本文采用了岭回归技术，即在代价函数中加入一个包含适当正规化参数的权值惩罚项，从而保证网络输出函数具有一定的平滑度。