主成份分析

• Such organic combination of the determined signal analytical method for potential field analytical continuation with the stochastic signal analytical method for principal component analysis provides a new channel for the inversion of geophysical potential field
  这种将位场解析延拓的确定信号分析法与主成份分析的随机信号分析法有机联合，为解决地球物理位场反演问题提供了一种途径。
• This paper firstly study the background of face automatic recognition system and methods of face recognition , secondly bring forward a method of face recognition based on wavelet transform , principal component analysis and artificial neural network
  本文首先研究了人脸自动识别技术的历史与现状及人脸识别的主要方法，然后提出了一种基于小波变换、主成份分析和人工神经网络的人脸识别方法。
• This method is also used to evaluate and select the suppliers in the global and dynamical angle . this paper comes up with a new algorithm of multivariate pci based on coefficient of variation ( cv ) aiming at the flaw of the principle component analysis
  其次针对基于主成份分析的思想计算多元过程能力指数的不足，本文提出了基于差异系数的多元过程能力指数的计算方法，实例证明该方法更加符合实际。
• In the third chapter , it analyzes the shortcomings of the current methods of comprehensive evaluation on the quality of life , and then makes use of the principal components analysis to evaluate the quality of life and compares it internationally
  在指出现行生活质量综合评价方法不足的同时，用主成份分析法对居民生活质量进行了综合评价和国际比较研究，并在此基础上运用了大量的数据和图表对我国居民生活质量的现状进行了详细的统计描述和分析。
• Based on the pilot studies on the evaluation index system and the method of sustainable development on loess plateau , this paper has designed the structure frame of the index system including three types of index including one advanced comprehensive index - the comprehensive index of sustainable development , five basic indexes and thirty element indexes , the analytic hierarchy process which can be used to calculate the sustainable development index weight supported by entropy technology . the model can be used to evaluate the sustainable development of loess plateau comprehensively integrated by mathematical method such as compositive appraisement method of hierarchy multilayer 、 main component analytical method 、 regression analytical method and so on . pilot study on the index system has been carried out on the leoss plateau of the northern shaanxi , and the results is promising
  通过对黄土高原可持续发展评价指标体系和方法的初步研究，设计出了包括1个高级综合指标- -可持续发展综合指数、人口状况等5个基本指标和人口自然增长率等30个元素指标的层次性指标体系结构框架，熵技术支持下确定可持续发展指标权重的层次分析法，以及由递阶多层次综合评价、主成份分析和回归分析等数学方法所集成的可持续发展全面综合评价模型，并以陕北黄土高原为例进行了具体的应用分析与评价。
• On the basis of 2004 statistical data , we choose 38 indexes of different fields as the economy , society , population , resource and environment to make up the index system , and then use the software spss13 . 0 to analyze , draw the ability of regional sustainable development ; and then carry on cluster ' s analysis to analyze and explain about regional district sustainable development ability so that to offer the basis for strengthening the ability construction of sustainable development
  为了得到各省市可持续发展能力，我们以2005年统计资料为依据，选取经济、社会、人口、资源、环境等各方面38项指标组成指标体系，利用主成份分析法得出各省市可持续发展能力；进而对各省市最终得分进行聚类分析，找出影响各地可持续发展能力提高的主要原因，同时比较各类型区域的可持续发展能力。
• The results of research reveals the variation disciplinarian and the affected factor , defines the factor limiting the urban regional development . all these offer scientific references for reasonable city planning , municipal building project planning , reasonable arrangement of land use , the confirmation of land use intensity and the improving land use benefit . and a series of methods we have explored can apply the practical manipulation of grading and assessing urban land , which contribute to enhance working efficiency , shorten the time of evaluation , enhance the updating of urban land price , establish a system of dynamic superviso ry control and examination , and enhance accuracy and objectivity of urban land - rated evaluation
  再由球形检验和主成份分析、信度分析、多元回归分析的技术路线，逐层递深地解译影响城市地价的主要因素及相互数量关系，其研究结果揭示了城市地价的变化规律和影响因素、明确了限制城市区域发展的因素，为合理的城市规划，市政建设项目规划，合理安排土地用途，确定土地利用强度，提高土地利用效益等提供了科学依据，同时探索的系列化方法可直接应用于城市定级估价的实际操作中，有利于提高工作效率，缩短估价时间，提高城市地价的现势性，建立地价动态监控和测算系统，又可提高城市定级估价的准确度和客观性，在理论上、学术和实践上均有积极意义。
• 1 , q 3 , and at last prove the exisitence of ( q , m + n , n , m ) resilient functions when n > q ? 1 . intelligentized ids methods , which can make the system more adaptability and self - studying , are important research directions of ids so far . in order to make the ids systems have better identifying ability and efficiency against new intrusions , we propose the intrusion feature extra - ction algorithm based on ikpca by studying the different kinds of intrusion detection feature extraction algorithm based on unsupervised learning , and then theoretically analysis the conver - gence of the algorithm . in addition , we validate the validity of the algorithm by means of experim - ents ; at the same time , through studying ica and neural networks , we propose fastica - nn ids , and then test the kddcup99 10 % date set to make comparison of kpca 、 ikpca and fastica algorithms in intrusion detection advantages and disadvantages
  为了使入侵检测系统对新的入侵行为有更好的识别能力和识别效率,本文在研究了各种基于无监督学习的入侵检测特征提取方法的基础上,提出了基于增量核主成份分析( ikpca )的入侵检测特征提取方法,并对该方法进行了收敛性分析,同时结合仿真试验对其正确性进行了验证;另外,本文通过研究独立成份分析和神经网络,提出了基于快速独立成份分析和神经网络的入侵检测方法( fastica - nnids ) ,并通过对kddcup99的10 %数据集的检测比较了核主成份分析( kpca ) 、增量核主成份分析( ikpca )和快速独立成份分析( fastica )在入侵检测特征提取方面的优缺点。
• So a number of evaluations have to be made . but , sometimes results of these evaluations will not be consistent with one another and even counteract , so the all - round evaluation is essential . there are some traditional methods such as ahp , and only the simplex matrix method is offered in this paper
  但是，各单项评价只是从某一个方面反映了各路网方案的优劣，有时，各单项评价指标会出现不一致甚至互相抵消的情况，因此，必须对路网方案进行综合评价，其常规综合评价方法有价值分析法、单纯矩阵法、层析分析法及主成份分析法等，论文中只给出了单纯矩阵法。
• This paper provides a comprehensive survey of recent developments of vision - based human motion analysis , and it keeps up with the latest research . this paper proposed a new gait recognition approach based on pca ( principal component analysis ) and support vector machine ( svm ) . first , we detect the moving gait from each image sequence
  在此基础上,本文提出了把外轮廓沿人体中线投影向量( midlineprojectionvector )作为步态特征和主成份分析pca ( principalcomponentanalysis )与支持向量机svm ( supportvectormachine )相结合的步态目标特征提取与识别方法。