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- The paper proposed a Priori Kernel Principal Component Analysis (PKPCA), which integrates between and within class variances into KPCA, and thus the classification performances can be enhanced. 本文提出了一种新的具有先验类别信息的非线性主元分析算法:PKPCA(Priori Kernel Principal Component Analysis),通过将样本类内差和类间差融入总体方差中,从而达到更好的分类目的。
- Firstly,the paper utilizes kernel principal component analysis method to realize reduce the dimension of the input vectors and orthogonalize the components of the input vectors. 首先利用核主元分析实现输入变量的降维和去相关,然后运用小波神经网络建立预测模型。
- A novel method is proposed in developing soft sensor based on the nonlinear principal components obtained from kernel principal component analysis (PCA) technique to deal with the nonlinear characteristics of data. 摘要提出了基于核函数主元分析(PCA)方法提取变量的特徵信息以有效处理非线性数据，并在此基础上进行软测量建模的方法。
- sparse kernel principal component analysis 稀疏核主元分析
- kernel principal component analysis 核主元分析
- kernel principal component analy sis(KPCA) 核主成分分析（KPCA）
- KPCA (kernel principal component analysis) 核主元分析（KPCA）
- recursive kernel principal component analysis 递归核主元分析
- Kernel Principal Component Analysis (KPCA) 核主成分分析
- Kernel Principal Component Analysis(KPCA) 核主成分分析
- With regard to the limitations of kernel PCR with single kernel, mixtures of kernels principal component regression (PCR) is proposed to improve the generalization ability and nonlinearity. 摘要针对核函数PCR方法中单个核函数的局限性，提出了混合核函数PCR方法并将其用于工业过程软测量建模，以提高模型的推广能力和非线性处理能力。
- multiway kernel principal component analysis (MKPCA) 多向核主元分析
- Supervised Kernel Principal Component Analysis(SKPCA) 有监督核函数主元分析（SKPCA）
- kernel principal components analysis 核主成分分析
- KERNEL PRINCIPAL COMPONENT ANALYSIS AND ITS APPLICATION IN GEAR FAULT DIAGNOSIS 核函数主元分析及其在齿轮故障诊断中的应用
- Class-Information-Incorporated Kernel Principal Component Analysis (CIKPCA) 组合类别信息的核主成分分析（CIKPCA）
- Fault Diagnosis for Nonlinear Dynamic System Using Kernel Principal Component Analysis 基于核主元分析的非线性动态故障诊断
- Research of Support Vector Machine Classified Method Based on Kernel Principal Component analysis 基于核主元分析的支持向量机识别方法研究
- Kernel Principal Component Analysis and Its Application to Fault Feature Extraction 核函数主元分析及其在故障特征提取中的应用
- Any alloy whose principal component is copper. 主要成分是铜的合金。
