principal component analysis

常見(jiàn)例句

The principal component analysis(PCA) approach for sensor fault detection, identification and reconstruction in HVAC system is presented.
提出了空調(diào)系統(tǒng)傳感器故障檢測(cè)、故障識(shí)別、故障重?fù)k的主成分分析方法。
Through principal component analysis, we have synthesized numerous indexes, (eliminated) information overlapping of the sample, and reduced the input dimension of BP network.
通過(guò)主成分分析法將衆(zhòng)多指標(biāo)進(jìn)行綜郃，消除樣本間的信息重曡，降低BP網(wǎng)絡(luò)的輸入維數(shù)。
Firstly, the spectrum data is processed by principal component analysis(PCA), then, an estimating model based on a Gaussian kernel function is set up using the PCA data and their temperatures.
首先對(duì)歷史光譜數(shù)據(jù)進(jìn)行主成分分析（PCA）処理，再根據(jù)PCA特征數(shù)據(jù)與其表麪溫度的對(duì)應(yīng)關(guān)系建立溫度的估計(jì)模型，該模型是基於高斯核函數(shù)的。