principle component analysis 中文意思是什麼
principle component analysis
解釋
主成分分析-
Based on the principle of significant effect of soil fertility factors on forest growth, soil physical factors ( natural water content, bulk density, total porosity, capillary porosity, aggregate degree, coarse silt and physical clay ), chemical factors ( om. total n, alkali - hytrolyzable n, total p, humus and ha / fa ) and biological factors ( urease, acidphosphotase, invertase and microbes ) were selected as evaluation index system of soil fertility. applying principal component analysis, soil ifi of subalpine coniferous forest was calculated
從土壤物理、化學、生物學三方面出發，建立了川西亞高山針葉林不同演替階段土壤肥力評價指標體系，應用主成分分析，計算出不同演替階段土壤肥力綜合指標值（ ifi ） ，各演替階段大小順序為： 10年生雲杉林地跡地原始林地次生樺木林地30年生雲杉林地20年生雲杉林地50年生雲杉林地60年生雲杉林地40年生雲杉林地。 -
Starting from the intention and principle of agriculture sustainable development, this article delves further into the frontier and hotspot issue - measurement mean namely the indicators system and evaluation pattern of sustainable development, quote the assembled evaluation method of multi - indicator synthesis evaluation theory into the evaluation of sustainable development, and then put forward a conclusion that the principle component - analytic hierarchy process analysis is much better than other methods
文章從農業可持續發展的內涵及原則出發，對農業可持續發展理論的前沿及熱點問題? ?可持續發展的度量手段即指標體系及評價模式進行深入探討，將多指標綜合評價理論中的組合評價方法引用到可持續發展評價中，提出主成份? ?層次分析組合評價法優于其它方法的結論。 -
If it is not good enough, optimal control module based on principle component analysis and clustering search will function for optimization. this algorithm makes no request for accurate analytical model and maintains search efficiency and self - adjusting performance by an optimal parameter set derived from process data, which is proved to be effective. by practical running of dcs, a prominent tracing performance is gained and variation of parameters is limited in a small range, which enhance stability and production benefit of sintering process obviously
燒結過程是一個影響因素復雜、干擾嚴重、具有不確定性的工業過程，傳統的基於對象精確解析模型的優化策略難以奏效，因此在控制參數優化模塊中提出了一種基於主元分析和聚類搜索的優化匹配演算法，該演算法不要求對象的精確模型，其搜索效率和自校正性能依賴于從生產過程歷史數據中抽取的優化參數樣本庫，充分利用了燒結生產過程積累的生產數據所包含的信息，取得了不錯的效果。 -
At the first step of the algorithm, based on the theory of principal component analysis, a modified principal component analysis ( mpca ) approach is adopted to reduce the dimension of data horizontally, then after comparing existing clustering algorithms, an immune clustering algorithm is put forward based on similarity measurement of principle component core for vertical reduction by using related mechanism of clone selection as well as immune network self - stabilization in natural organic immune system for reference
在進行樣本參量的降維處理時，基於主元分析的思想，採用一種改進的主元分析（ mpca ）方法用於橫向數據壓縮，在壓縮樣本數量時，綜述和比較了現有的各種聚類演算法，借鑒生物體自然免疫系統中克隆選擇以及免疫網路自穩定等有關機理，提出了基於主元核相似度的免疫聚類演算法用於縱向數據壓縮。 -
Application of principle component analysis to measure the it level of mechanical industries
機械行業信息化水平測度的研究 -
Kernel function optimization in kernel principle component analysis and its application to feature extraction of gear faults
核主元分析中核函數參數選優方法研究 -
The paper discusses the application of principle component analysis method to study the social factors, which affects the social vulnerability of chongqing natural disaster, making the principle component and asserting the weight, then make use of gis to analyse the vulnerability of natural disaster, besides, divide 40 administrative area of chongqing into 5 kinds area of vulnerability
摘要探討應用主成分分析法對影響重慶自然災害易損的社會因素進行分析，構建主要成分和確定權重，再利用gis技術對災害的社會易損度進行綜合空間分析計算，並按照社會易損程度把重慶的40個區縣分成了5類區域。 -
Taking in - situ toughened silicon nitride as a design object, principle component analysis ( pca ) is applied to study the microstructure and mechanical properties, to find out the main microstructure controlling factors, and to simplify the characterization variables and criterions ; fuzzy neural networks ( fnns ) is also applied to develop a design expert system for this material, which can realize the forward prediction from processing, microstructure to mechanical properties, and backward design from mechanical properties or microstructure to processing ; monte - carlo method is applied to simulate the grain growth of this material, and then crack propagation is simulated, which is another way based on physics and chemistry to developing prediction models from processing until to mechanical properties
本文以自增韌氮化硅陶瓷為設計對象，運用主成分分析法（ principlecomponentanalysis ： pca ）對自增韌si _ 3n _ 4陶瓷的顯微結構和力學性能進行數據空間降維，獲得自增韌si _ 3n _ 4陶瓷顯微結構控制的主要因素，進而簡化了表徵參量變量和準則；運用模糊神經網路（ fuzzyneuralnetworks ： fnn ）建立了自增韌si _ 3n _ 4陶瓷設計專家系統，能實現工藝?微結構?性能的正向預測及反向設計；運用monte - carlo方法（ mc ）進行自增韌si _ 3n _ 4陶瓷的晶體生長模擬，然後進行裂紋擴展模擬，探索建立工藝?微結構?力學性能預測模型的思路。 -
Principle component analysis, pca
然後應用主成分分析 -
The principle component analysis of economic sustainable development of hebei
河北省經濟可持續發展的全局主成分分析 -
Application of principle component analysis in comprehensive evaluation of core journals
主成分分析法在核心期刊綜合評價中的應用 -
The regression models of principle component analysis on in - output variables in agriculture
農業投入產出變量的主成分回歸分析模型 -
Discuss the procedure of extracting the information in the images using point distribution model and building models using principle component analysis
詳細討論了利用點分佈模型提取圖像信息，採用主成分分析方法建立模型的過程。 -
The article proposes the method for oblique principle component analysis ( opca ), and conducts a preliminary study on the theoretical system of the method of opca, and on its application
因此提出了斜交主元分析方法，並對斜交主元分析方法的理論體系及其應用進行了初步的探討。 -
Conventionally, due to the huge volume of data, the analysis of erp data, viewed as a multivariate problem, usually adopts principle component analysis ( pca ) to reduce data dimension
Erp數據的研究與分析因其數據量大的特徵，通常採用多變量解析中主成分分析（ pca ）壓縮元的思路來進行。 -
The principle component used for principle component analysis is orthogonal, while the reality represented by the principle component possesses a definite relationship in regard to its basic specialty
該方法針對主元分析的主元是正交的，而主元代表的現實事物的基本特徵間往往存在一定的相關性。 -
In addition, on the basis of rgb - ihs and principle component analysis, this paper carries out a multi - spectral image merge experiment of cbers - 01 with aster, tm and spot, then makes a comparison on cbers - 01 and tm from the information of brightness, texture and edge, and macro characteristics
基於rgb - ihs變換和主成分變換模式，將cbers - 01與aster 、 tm 、 spot等數據進行多光譜影像融合實驗。另外，展開cbers - 01與tm在灰度信息、紋理信息、邊緣信息及宏觀特點等方面的對比研究。 -
Principle component analysis ( pca ), as a classical method for feature extraction, learns holistic representations of facial images, while non - negative matrix factorization ( nmf ), a recently proposed approach, learns parts - based representations of faces. however, we argue that nmf can not only learn parts - based representations but also holistic ones with different sparseness constraints
在眾多的特徵提取演算法中，基於全局特徵提取的主元成分分析（ principlecomponentanalysis ， pca ）是討論最多的經典演算法，與此對應的是基於局部特徵提取的非負矩陣分解（ non - negativematrixfactorization ， nmf ）演算法。 -
( 3 ) the method of face recognition based on the gabor wavelet and support vector machine has been analyzed in details, which results in that some problems, such as the selection of the cumulative contribution rate in the principle component analysis, the choice of the order of polynomial kernel function, and the determination of the decision
第三，細致分析了基於gabor小波和支持向量機的人臉識別演算法，歸納出該演算法在實際應用中所遇到的主要問題，即累積貢獻率選擇、多項式核函數階數的選擇、以及決策函數的確定，給出了累積貢獻率和多項式核函數的階數選擇規則，提出了支持向量機和最大值相結合的分類決策方法。 -
While some new theories and techniques have been applied to it successfully, such as pca ( principle component analysis ), ga ( genetic algorithm ), wavelet theory, - ann ( artificial neural network ), fuzzy system, pattern classification, adaptive control theory, nonlinear system theory, etc. this paper applies fuzzy neural network based on genetic algorithm to the fdd ( fault detection and diagnosis ) of power electronic circuits
故障檢測與診斷技術在過去的十幾年裡得到了飛速發展，一些新的理論與方法，如：主元分析、遺傳演算法、小波變換、神經網路、模糊系統、模式識別、自適應理論、非線性理論等都已經在這里得到了成功的應用。
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