The principal component analysis ( pca ) is used to study the socioeconomic factors 采用主成分分析法對(duì)社會(huì)經(jīng)濟(jì)驅(qū)動(dòng)要素進(jìn)行了研究。
( 2 ) principal component analysis ( pca ) method is a popular method in face recognition field ( 2 )基于主成分分析( pca )的特征臉法是人臉識(shí)別中應(yīng)用最廣泛的方法之一。
The new neural network prediction model of water level is established based on the principal component analysis ( pca ) 采用人工神經(jīng)網(wǎng)絡(luò)與主分量分析相結(jié)合的方法,建立了梧州水位的預(yù)報(bào)模型。
( 5 ) a new classification method based on support vector machine theory and principal component analysis ( pca ) techniques is presented ( 5 )提出了基于主成分分析方法和支持向量機(jī)理論的去噪聲加權(quán)svm分類方法。
Principal component analysis ( pca ) , cluster analysis ( ca ) and probabilistic neural network ( pnn ) were used in the data analysis and pattern recognition 并通過主元分析、聚類分析和概率神經(jīng)網(wǎng)絡(luò)對(duì)數(shù)據(jù)進(jìn)行了分析和識(shí)別。
This thesis presents principal component analysis ( pca ) approach for sensor fault detection , identification and reconstruction in hvac system 本文提出了用主成分分析法( pca )進(jìn)行空調(diào)系統(tǒng)傳感器故障檢測與診斷的基本思想。
A synthetic method of principal component analysis ( pca ) and cluster analysis is presented to evaluate and classify the regional logistics development in provincial logistics planning 摘要提出利用主成分聚類分析的方法對(duì)省域物流規(guī)劃中各地區(qū)的物流發(fā)展進(jìn)行綜合評(píng)價(jià)并分類。
The holistic features are extracted by principal component analysis ( pca ) , and the local features are extracted by non - negative matrix factorization with sparseness constraints ( nmfs ) 首先通過主元分析算法( pca )提取全局特征,利用帶稀疏限制的非負(fù)矩陣分解算法( nmfs )提取局部特征。
This thesis lays a strong emphasis on principal components analysis ( pca ) and lm algorithm in artificial neural networks to complete the prediction of ncrna , which is based on data mining 論文的重點(diǎn)是運(yùn)用數(shù)據(jù)挖掘方法中的主成分分析和人工神經(jīng)網(wǎng)絡(luò)lm ( levenberg - marquardt )算法實(shí)現(xiàn)了ncrna的預(yù)測。
In this thesis , based on principal component analysis ( pca ) , covariance stationary processes and spectral analysis theory of linear operator , spectral principal component analysis ( spca ) is put forward 在主成分分析的基礎(chǔ)上,基于協(xié)方差平穩(wěn)過程理論和線性算子譜分析理論,本文提出了譜主成分分析。