1) kernel partial least squares identification
核偏最小二乘辨识
3) discrimination on least square class
最小二乘类辨识
1.
In this paper, Using popov theory of super stability, the author puts forward the method of self-adapted parameter estimation for reference models which is different from the thought of discrimination on least square class.
运用ＰＯＰＯＶ超稳定性理论，提出了与最小二乘类辨识思路不同的参考模型自适应参数估计方法。
4) kernel partial least squares
核偏最小二乘
1.
To provide the necessary decision supports and analysis tools for quality control of strip hot-dip galvanizing,using the airknife parameters,a zinc coating weights forecasting model based on kernel partial least squares is proposed.
为了给带钢热镀锌生产的质量控制提供必要的决策支持和分析手段,针对气刀对锌层重量的控制工艺,提出了基于核偏最小二乘回归的锌层重量预测模型。
2.
A novel derivation based on optimization for the kernel partial least squares(K-PLS) algorithm is provided.
介绍了一个新的基于优化推导出的核偏最小二乘(kernel partial least squares,K-PLS)的算法原理和实现步骤,并且给出了利用K-PLS法构建P-糖蛋白(P-glycoprotein,P-gp)黄酮类抑制剂的定量构效关系(QSAR)模型。
3.
The new method couples kernel partial least squares(KPLS) feature extraction with support vector regression machine(SVR) to improve the quantitative analysis accuracy and speed of seven-component alkane gas mixtures composed of methane,ethane,propane,iso-butane,n-butane,iso-pentane,and n-pentane,whose feature absorption spectra are cross each other and overlapped seriously.
为进一步提高FTIR光谱法实现特征吸收光谱严重重叠的甲烷、乙烷、丙烷、异丁烷、正丁烷、异戊烷以及正戊烷七组分混合气体定量分析的精度和速度,提出一种核偏最小二乘(Kernel Partial Least Square,KPLS)特征提取耦合支持向量回归机(Support Vector Regression Machine,SVR)的红外光谱定量分析新方法。
5) kernel partial least squares
核偏最小二乘法
6) kernel partial least square (KPLS)
核的偏最小二乘
补充资料：最小辐亮度与最小辐照度(见核爆炸火球)
最小辐亮度与最小辐照度(见核爆炸火球)
minimum-brightness and minimum-irradiance
zuixiao fuliangdu yu zuixiaofu乙haodu最小辐亮度与最小辐照度(minimum-brightness and而nimum一irradianee)见核爆炸火球。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条