典型相关分析

典型相关分析方法在半干旱区作物生长系统中的应用

Application of Canonical Correlation Analysis to Crop Growth Systems of Semiarid Region

二维典型相关分析的实质与改进算法

Essential of two-dimensional canonical correlation analysis and improved algorithm

啤酒大麦F2代主要性状间的典型相关分析

The Typical Correlation Analysis of Main Characters of Malting Barley in F_2 Generation

基于典型相关分析和数据自回归处理的BP神经网络在聚丙烯熔融指数预报中的应用

Melt Index Prediction by BP Neural Networks Based on Canonical Correlation Analysis and Data Auto-regression

老年心身疾病患者生活满意度与个性的典型相关分析发现的生活满意度与N成负相关。

Results of canonical analysis of the factors LSIZ and EPQ in elderly with psychosomatic diseases showed that LSIZ was negative related to N.

典型相关分析结果，地表覆盖度与入侵植物数量两变量主要系透过第一个典型因素与第二个典型因素而影响到复层植被区之pH值、有机质等土壤理化性质。

The canonical correlation analysis showed that vegetation cover and invasion amount influenced soil properties of pH , organic matter by first and second canonical factors .

针对多维数据流相关性分析提出一种新颖的基于基窗口的在线典型相关分析算法BasewinCCA。

This paper presents a new on-line correlation analysis algorithm called Base_win_CCA , which analyses correlation over multidimensional data streams based on base-windows .

典型相关分析的改进型RLS盲均衡算法研究

Research on the Blind Equalization Algorithm of Modified RLS Based on Canonical Correlation Analysis

典型相关分析（CCA）对我国冬季气温的短期气候预测试验

Short term climate forecast experiment of winter temperature in China using canonical correlation analysis

典型相关分析结果：移民基本情况和心理量表SCL-90评分有相关性。

Canonical Correlation Analysis of Results : The basic situation of immigrants and psychological scale SCL-90 score correlated .

采用典型相关分析方法对湖南省大庸市某村75例精神发育迟滞（MR）患者和152名正常人的手部皮纹特征进行了研究。

The dermatoglyphic features of 75 cases with Mental Retardation ( MR ) and 152 persons with normal intelligence in a village of Dayong city of Hunan province were studied with canonical correlation analysis .

以O-TMAP为分析工具，借助典型相关分析等统计方法对这5个假设进行验证。

O-T map instrument and some statistical analysis methods were used to testify the five hypotheses .

由各自的典型相关分析得到了与不良香气、pH值、甜/酸、甜度、色度、抗氧化活性和活性氧代谢具有显著相关效应的主效作用因子。

Main-effect factors were obtained which showed significant correlation with odor 、 pH value 、 sweet / sour 、 sweetness 、 color 、 antioxidant activity and ROS metabolism by canonical correlation analysis .

热力学模型在熔盐水合物相变储能材料设计中预测能力的比较研究基于典型相关分析和数据自回归处理的BP神经网络在聚丙烯熔融指数预报中的应用

Comparison of Thermodynamic Models in Design of Phase Change Materials Using Hydrated Molten Salts as Agents ; Melt Index Prediction by BP Neural Networks Based on Canonical Correlation Analysis and Data Auto-regression

然后采用典型相关分析（CCA）改进线性判别分析（LDA）中的变换矩阵，使得特征向量的降维具有自适应性；

Then , the LDA transformation matrix is improved with CCA , which makes the reduction of dimensions adaptive .

我们通常采用基于典型相关分析或偏最小二乘回归（PLS）的方法融合组学数据，因为它们的计算性能比较好。

We usually adopt methods based on canonical correlation analysis or partial least-squares regression ( PLS ) to integrate omics data sets due to their acceptable computational performance .

老年心身疾病患者个性与心理状况的典型相关分析发现N与人际关系敏感和焦虑呈正相关，E与强迫呈正相关。

Results of canonical analysis of the factors EPQ and SCL-90 in elderly with psychosomatic diseases showed that ` N ' was positively related to and ` anxiety ' , and ` E ' was positively related to ` obsessive-compulsive ' .

基于典型相关分析和Fisher线性鉴别分析的等价性，提出了利用核典型相关分析来抽取小样本人脸图像的非线性鉴别特征，并用其进行脸像鉴别。

Based on the equivalence between canonical correlation analysis ( CCA ) and Fisher linear discriminant analysis ( FLDA ), nonlinear discriminant features of face images are extracted with kernel CCA .

典型相关分析（CCA）是研究存在于两组变量之间相关关系的有力工具。

Canonical correlation analysis ( CCA ) acts as a powerful tool to analyze the underlying dependency between the observed samples in two sets of data .

以54个杂交水稻组合的F1生态群体为材料，应用典型相关分析方法分析了光温因子与杂交水稻的产量和品质性状的典型相关性。

In this paper , field experiment was conducted to analysis the canonical correlations of light and temperature with the yield and quality characters of F_1 ecological populations of 54 hybrid rice breeds .

方法采用应付方式问卷和父母教养方式评价量表（EMBU）对917名大学生进行问卷调查，利用SAS统计软件包进行典型相关分析。

Methods A questionnaire survey was conducted among 917 college students by using coping style questionnaires and EMBU . Data were analyzed by canonical correlation analysis with SAS software .

运用多元统计分析中的典型相关分析方法，借助于DPS数据处理系统对接受测试的20名成员的测试数据进行了分析，给出了人的体质与运动能力之间的关系。

In the paper we analyse twenty members'tested data using DPS data processing system and give the relation between constitution and sports ability through canonical correlation analysis in multivariate statistical analysis .

利用1996&2000年统计资料的11项指标，采用典型相关分析（CCA）方法，以中国北方农牧交错带为例，对其农林牧业生产结构类型的空间分异特征进行了分析。

By using 11 indexes of statistics between 1996 and 2000 and canonic correspondence analysis ( CCA ) method , spatial differentiation pattern of production structure ( combination and proportion of faming-livestock raising-forestry ) is analyzed .

该方法首先采集侧面视角人脸图像，然后将核方法引入到典型相关分析（CCA）中，提出基于核CCA的特征融合方法，并应用其提取人耳人脸的关联特征进行个体的分类识别。

By introducing the kernel trick to the canonical correlation analysis ( CCA ), a feature fusion method based on kernel CCA ( KCCA ) is established and is then used to capture the associated feat .

在传统的典型相关分析（CCA）基础上，定义了类别相关性，提出了增强典型相关分析（ECCA）方法。

Based on the theory of classical canonical correlation analysis ( CCA ), by defining class correlation , an enhanced canonical correlation analysis ( ECCA ) is proposed .

典型相关分析（CCA）作为经典的多元数据分析方法，通过研究两组变量之间的相关关系来进行特征提取，近年来已开始在模式识别和机器学习等多个领域得到广泛的应用。

As a classic multivariate data analysis method , canonical correlation analysis ( CCA ) extracts features through studying the correlation between two groups of variables and has been widely applied in pattern recognition and machine learning recently .

用11个不同产地的野生三叶木通（Akebiatrifoliate）自然单株进行栽培试验，对其5个茎藤生长性状与5个气候因子进行了典型相关分析。

Artificial cultivation with Akebia trifoliate wild plant in 11 different habitats , and 5 ( stem 's ) character and 5 climate factors were carried out to analyze the canonical correlation .

根据290块I-69杨标准地调查资料，采用典型相关分析方法对树冠特性与生长的关系进行了定量分析；

According to the survey data of 290 valuation areas , the authors quantitatively analyzed the relationship between the crown characteristic and growth with canonical correlation analysis method ;

在以往的基于意识任务BCI的研究中，均没有对EMG伪迹进行处理，本文提出了一种基于典型相关分析（CCA）和低通滤波的BSS方法来分离和去除EMG伪迹。

No studies of the mental task based BCI removed EMG artifacts before . In this paper , a new method for EMG artifact removal in EEG was presented , based on canonical correlation analysis ( CCA ) and low-pass filtering as a BSS technique .

核典型相关分析（KCCA）是一种有监督的机器学习方法，可以有效地提取非线性特征。

Kernel Canonical Correlation Analysis ( KCCA ) is a recently addressed supervised machine learning methods , which is a powerful approach of extracting nonlinear features .