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主成分回归
相关语句
  principal component regression
    Study on simultaneous determination of pigments using principal component regression by spectrophotometry
    主成分回归光度法对食用色素多组分同时测定的研究
短句来源
    Making use of the furthest match capability of radial basis function networks (RBFN) and the space transform technology of principal component regression (PCR) , a modeling approach of RBFN combining with PCR (RBFN -PCR) was proposed.
    利用径向基函数网络(RBFN)的最佳逼近性能和主成分回归(PCR)的空间变换技术,提出了一种径向基函数网络-主成分回归(RBFN-PCR)的建模方法。
短句来源
    With the methods of multi variety linear regression analysis and principal component regression analysis, the result showed that when n=3, two steps derivatived the whole spectrum PCR result close to the actual value ( SEP=0.34%), this method was rapid, swift, accurate and non destructive.
    采用了多元线性回归分析与主成分回归分析方法 ,结果表明 ,当n =3时 ,二阶导数差谱的全光谱CR检测结果最接近真实值 (SEP=0 .34% ) ,此方法具备方便、快捷、准确与非破坏性的特点
短句来源
    The analysis of the second -derivative difference spectrum data was accomplished with multilinear regression (MLR) and principal component regression (PCR).
    用多元线性回归(MLR)和主成分回归(PCR)分析了数据。
短句来源
    The absorption spectra of carmine,amaranth and sunset yellow overlapped severely. In this paper,the principal component regression method was applied to resolve the overlapping spectra for simultaneous determination of ternary mixtures of carmine, amaranth and sunset yellow. The results were satisfactory with ASR%<3.0% and recoveries being 97%~103%.
    由于胭脂红、苋菜红、日落黄3 种食用色素的吸收光谱重叠严重,所以,研究采用主成分回归光度法解析谱峰重叠体系,并对由这3 种色素合成的混合样品进行了三组分的同时测定,其误差ASR% < 3.0% ,回收率在97% ~103% 范围内,结果令人满意。
短句来源
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  “主成分回归”译为未确定词的双语例句
    The whole solving process subsumes LSR, PCR, PLS and other medial regression algorithms.
    整个求解过程包括了最小二乘回归 (LSR)、主成分回归(PCR)、偏最小二乘回归 (PLS)及其他中间回归方法。
短句来源
    The results indicated that the standard errors for calibration(SEC)and cross validaˉtion(SECV)were0.1258and0.1340for MPLS,0.1177and0.1175for PLS,0.1207and0.1275for PCR,respectively;
    结果表明,用改进的最小二乘法(MPLS)、偏最小二乘法(PLS)和主成分回归法(PCR)进行校正时,校正标准误差(SEC)、交叉检验标准误差(SECV)分别为0.1258、0.1340(MPLS),0.1177、0.1175(PLS),0.1207、0.1275(PCR)。
短句来源
    Estimation for cutability of crossbred jilin swine by principal component regress analysis
    吉林杂交猪瘦肉率的主成分回归分析估算
短句来源
    In this paper a review of application of chemometrics in simultaneous spectrophotometric analysis briefly introducedand discussed the basic principles of chemometrics including multiple linear regression, factor analysis, principal componentregression, partial least squares, Kalman filter and artificial neural network, as well as application of chemometrics for practicalanalytical purpose.
    本文对化学计量学光度法在食品多组分分析中的应用进行了评述,并简要介绍和讨论了多元线性回归、因子分析法、主成分回归、偏最小二乘法、卡尔曼滤波、人工神经网络及其在食品分析中的应用。
短句来源
    The results show that the precision of kappa number prediction is improved with PCR-SRA com pared with linear algorithms such as principal compo nent regression (PCR),multivariable linear regression (MLR) and unary linear reg ression (ULR).
    结果表明 ,这种算法由于主成分分析法消除了变量间的相关性 ,逐步回归法又在一定程度上防止主成分分析法带来的光谱数据信息的损失 ,所以利用该算法建立的纸浆卡伯值测量模型 ,与一元回归、多元回归和主成分回归等方法相比 ,具有更高的预测精度。
短句来源
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  principal component regression
Successful retrieval of visibility from multichannel NOAA/AVHRR data was performed using the principal component regression (PCR) method.
      
Characterizing and estimating rice brown spot disease severity using stepwise regression, principal component regression and par
      
Spectra data were analyzed by two multivariate calibration techniques: partial least squares (PLS) and principal component regression (PCR) methods.
      
Evident associations of variants with genes affecting agronomic traits were identified by principal component regression analysis, in which adjusted hybrid means were regressed on the matrix of hybrid variants frequencies.
      
Principal component regression identified variants potentially linked to genes that control specific agronomic traits.
      
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Five indexes about rheological properties of dough at different time were determined for 50 wheat cultivars (lines) grown in Henan Province. By the methods of multiple regression analysis, a series of regression equations about rheological properties of dough (independent variables) to the area (dependent variables) were built, and the regularities of the indexes influencing the area studied. In such a situation of losing a little experimental information, the practical regression equation could be imitated...

Five indexes about rheological properties of dough at different time were determined for 50 wheat cultivars (lines) grown in Henan Province. By the methods of multiple regression analysis, a series of regression equations about rheological properties of dough (independent variables) to the area (dependent variables) were built, and the regularities of the indexes influencing the area studied. In such a situation of losing a little experimental information, the practical regression equation could be imitated with the analysis of main components.

测定了在河南种植的50个小麦品种(系)不同拉伸时间内5项拉伸仪指标,借助于多元分析方法,建立了一组有关拉伸仪指标对面积的回归方程,探讨了面积受控因子的变化规律,认为主成分回归分析在损失少量信息的情况下,能够拟合更具有实践意义的回归方程。

From the system level of man-clolhing-cnvironment and wearing clothing layer, using the effective means of humidity polymer-sensor, the research determines subjective thermal sensation and 20 objective variables measured for 160 times, and obtains 1.5 million original data in over 20 kinds of conditions of high metabolism fully conbining actual wearing, on the base. Using mathematical statistics such as correlation analysis, multivariancc stepwise regression, variance analysis, component regression and multiple...

From the system level of man-clolhing-cnvironment and wearing clothing layer, using the effective means of humidity polymer-sensor, the research determines subjective thermal sensation and 20 objective variables measured for 160 times, and obtains 1.5 million original data in over 20 kinds of conditions of high metabolism fully conbining actual wearing, on the base. Using mathematical statistics such as correlation analysis, multivariancc stepwise regression, variance analysis, component regression and multiple comparisons, the study selects out of the principle indexes influencing body wearing thermal sensation, and builds wearing thermal sensation pridictive model emboding thermal conditioning mechanism such as heart blood vessel function and missing heat on body surf.ace. It will provide theoretical foundation and applied valuation method to study wearing thermal comfort in depth.

本研究从人-服装-环境的系统高度和实穿服装层面出发,采用高分子膜湿度传感装置人体心肺功能测定仪等先进手段,在高代谢等20余种实际穿着条件下,对主感热感觉和20个客观变量进行160余次实验测定,取得原始数据150余万,在此基础上运用方差分析、相关分析、多元逐步回归、主成分回归及多重比较等数理统计,选取出影响人体穿着热感觉的主要指标,建立了体现心血管功能及体表散热为主的温热调节机制和广泛适用的穿着热感觉预测模型,为深入研究穿着热舒适性提供了理论依据和实用评价方法。

A study of clothing comfort was

为定量研究服装的穿着舒适性,本文以动态、大活动量等20余种条件下160次实验取得的150余万主、客观测定资料为基础,运用相关分析、多元逐步回归分析、方差分析、主成分回归及多重比较等数理统计,较理想地解决了客观变量多重共线性等难题,选出了影响人体穿着热感觉的主要指标,建立了定量预测穿着热感觉的模型。继而,作为其应用又推导建立了实用性强的热舒适度(Bc)、舒适指数(Fc)及其预测模型,将热舒适性提高到体现机体功能水平与服装属性的量化高层次,为从舒适性角度改善服装功能提供了理论依据和实用评价方法。

 
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