Výsledky vyhledávání - Parallel PCA–KPCA

Parallel PCA–KPCA for nonlinear process monitoring Autor Jiang, Qingchao, Yan, Xuefeng

“… This paper proposes a parallel PCA–KPCA (P-PCA–KPCA) modeling and monitoring scheme that incorporates randomized algorithm (RA…”
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Multi-fault diagnosis for series-connected lithium-ion battery pack with reconstruction-based contribution based on parallel PCA-KPCA Autor Ma, Mina, Li, Xiaoyu, Gao, Wei, Sun, Jinhua, Wang, Qingsong, Mi, Chris

“…•The contribution-based PCA is adopted to detect the fault of the battery.•The reconstruction-based parallel PCA-KPCA is used to estimate the fault waveform…”
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Image classification with parallel KPCA‐PCA network Autor Yang, Feng, Ma, Zheng, Xie, Mei

“…) to construct a deep learning model named parallel KPCA‐PCA network (PK‐PCANet). In the proposed model, both of the given PCA and KPCA algorithm are aiming to calculate the filters that will be used in the following convolution layers…”
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Comprehensive Monitoring of Complex Industrial Processes with Multiple Characteristics Autor Xu, Chenxing, Yasenjiang, Jiarula, Cui, Pengfei, Zhang, Shengpeng, Zhang, Xin

“… To address this problem, a hybrid fault detection model based on PCA-KPCA-ICA-KICA-BI (Bayesian inference) is proposed, taking into account the advantages of principal component analysis…”
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Combined Fisherfaces framework Autor Yang, Jian, Yang, Jing-yu, Frangi, Alejandro F.

“… In this framework, Principal Component Analysis (PCA) and Kernel PCA (KPCA) are first used for feature extraction…”
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AN EMPIRICAL STUDY OF DIMENSIONALITY REDUCTION IN SUPPORT VECTOR MACHINE Autor Cao, L J, Zhang JingQing, Cai Zongwu, Lim Kian Guan

“… By examining the sunspot data, Santa Fe data set A and five real futures contracts, the experiment shows that SVM by feature extraction using PCA, KPCA or ICA can perform better than that without…”
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Model Selection for Gaussian Kernel PCA Denoising Autor Jorgensen, K. W., Hansen, L. K.

“…We propose kernel parallel analysis (kPA) for automatic kernel scale and model order selection in Gaussian kernel principal component analysis (KPCA…”
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