本文利用主成分分析和对数中心化的方法对江河水质进行综合定量评价。
The integrated quantitative evaluation on river water quality was made by principle components analysis and logarithm center method.
本文从上市公司的财务报表出发，利用主成分分析的方法研究财务风险。
This article chooses financial statement as the starting point, USES major-elements analysis to study accounting risk.
利用主成分分析方法建立了包含10个主成分的上市公司财务危机预警指标体系。
And then it sets up listed companies' financial crisis warning index system including 10 principal component factors using the method of principal component analysis.
最后，利用主成分分析，筛选出的色素含量高且稳定性好的优质黑米品种为P4。
Finally, we screened out high pigment content and good stability quality colored rice varieties is P4 by using PCA based on SPSS.
为了提高群体智能聚类算法的运行效率，提出了利用主成分分析改善模式投影时的随机性。
To improve the running efficiency of the algorithm, the stochastic mapping of the patterns was modified based on principal component analysis.
利用主成分分析法，对上海海运学院“教师课堂教学质量评价指标体系”的部分样本数据进行统计分析。
Using the principal component analysis method, this paper analyzes a part of the sample data from the "Classroom Teaching Quality Evaluation System" of Shanghai Maritime University.
然后利用层次类聚分析考察各指标之间的相关，同时分为五大类，利用主成分分析将其简化为不相关的变量。
Then-level analysis of the study the correlation between indicators, divided into five categories, using principal components analysis will be simplified for not related variables.
该方法首先利用小波变换和主成分分析对故障信号进行预处理，然后用处理后的故障特征数据对小波神经网络进行训练和测试。
The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.
利用上市公司财务绩效评价指标体系，应用主成分分析方法对18家石油化工类上市公司进行了综合评价。
Making use of evaluation index system of financing performance of listed companies, integrated evaluation on 18 listed petrochemical companies were made by using principal component analytical method.
本文提出一种利用平行坐标图的多元信息表示对主成分分析特征提取方法进行优化的分类技术。
A novel method for optimizing the principle component analysis in feature extraction is proposed, which making use of parallel coordinate plot for graphical presentation of multivariate information.
运用主成分分析法对区域水资源承载力进行分析评价，评价结果客观地反映了西安市及各区的水资源开发利用状况。
In this paper, the carrying capacity of regional water resource was analyzed and evaluated with the method of main component analysis, according to water resources statistics data of Xian city.
运用多元回归分析法和主成分分析法，讨论了前郭县土地利用变化的社会经济驱动机制。
The paper discuss socioeconomic drive mechanism of land use change in Qianguo County by using the multivariate regression analysis method and the principal component analysis method.
主成分分析表明，利用形态性状对萝卜分类时，首先考虑的是颜色，其次是根的性状，最后是叶的性状。
The results of principal components analysis showed that color , characters of root and leaf are the decisive factors affecting radish germplasm classification according to morphological characters.
通过主成分分析法，确定出大学生时间管理倾向的四个构成维度，分别为时间效能感、时间价值感、利用时间的主动性和时间管理策略。
By using principle factor analysis, four dimensions were identified. They are the sense of time efficacy, the sense of time value, initiative in time using and time management strategy.
本研究采用主成分分析和相关分析对土地利用变化的社会经济驱动因素进行了分析。
This research adopts the analytical and related analysis to made use of the social economy of the variety to drive the factor to carry on the analysis to the land.
对于检测到的人脸图像，建立了自己的实验室人脸库，并利用PCA主成分分析法实现了人脸识别。
For the detected face images, has established my own laboratories face images, and using principal component analysis of PCA method to achieve face recognition.
主成分分析方法主要利用数据的线性相关性来降维，并不适合非线性相关的情况。
As principal component analysis mainly use the linear correlation of the data, we propose a nonlinear principal component analysis method, by combining the mercer kernel function with it.
本文通过对人脸检测与识别技术的研究，提出了一种利用眼睛梯度特征的人脸检测方法并对主成分分析方法做了改进以进行人脸识别。
Through studying the face detection and recognition technique, this thesis presents a method of face detection based on eyes feature and improves the PCA to recognize human face.
其次，采用主成分分析法确定土地利用功能分区指标。
Then, using principal component analysis method, it set up the indicator system for land-use function district.
利用用户认知的不确定性设计定向变异算子。首先，采用主成分分析法辨识用户认知的不确定性；
A directional mutation operator is designed by using the user's uncertain cognitive. The main ingredient analysis is used to identify the user's uncertain cognitive.
主成分分析利用属性间相关性，提取主成分以实现纵向压缩；
The principal component analysis extracts the principal component and implements the column-wise compression, using the correlation between attributes.
主成分分析利用属性间相关性，提取主成分以实现纵向压缩；
The principal component analysis extracts the principal component and implements the column-wise compression, using the correlation between attributes.
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