principal component analysis

常見例句

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、故障識別、故障重構(gòu)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.
通過主成分分析法將眾多指標(biāo)進(jìn)行綜合，消除樣本間的信息重疊，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.
首先對歷史光譜數(shù)據(jù)進(jìn)行主成分分析（PCA）處理，再根據(jù)PCA特征數(shù)據(jù)與其表面溫度的對應(yīng)關(guān)系建立溫度的估計(jì)模型，該模型是基于高斯核函數(shù)的。