Search Results - PCA method algorithm

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  1. 1

    Principal manifolds for data visualization and dimension reduction by Gorban, Alexander N., Kégl, Balázs, Wunsch, Donald C., Zinovyev, Andrei

    ISBN: 3540737499, 9783540737490
    ISSN: 1439-7358
    Published: Berlin, Heidelberg Springer 2008
    “…The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods…”
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    eBook Book
  2. 2

    Source Analysis of Ambient PM2.5 in Wuhan City Based on Random Forest Model by Zhang, Zhi-Hao, Chen, Nan, Zhu, Bo, Tao, Hui-Ting, Cheng, Hai-Rong

    ISSN: 0250-3301
    Published: 08.03.2022
    Published in Huanjing kexue (08.03.2022)
    “…) method and random forest(RF) algorithm model. The results indicated that ρ(PM2.5) was the highest in winter[(61.33±35.32) μg·m-3…”
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    Journal Article
  3. 3

    Source Analysis of Ambient PM 2.5 in Wuhan City Based on Random Forest Model by Zhang, Zhi-Hao, Chen, Nan, Zhu, Bo, Tao, Hui-Ting, Cheng, Hai-Rong

    ISSN: 0250-3301
    Published: China 08.03.2022
    Published in Huanjing kexue (08.03.2022)
    “…) method and random forest(RF) algorithm model. The results indicated that (PM ) was the highest in winter[(61.33±35.32) μg·m…”
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    Journal Article
  4. 4

    Identification of green tea brand based on hyperspectra imaging technology by Zhang, Hai-Liang, Liu, Xiao-Li, Zhu, Feng-Le, He, Yong

    ISSN: 1000-0593
    Published: China 01.05.2014
    Published in Guang pu xue yu guang pu fen xi (01.05.2014)
    “…Hyperspectral imaging technology was developed to identify different brand famous green tea based on PCA information and image information fusion…”
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    Journal Article
  5. 5

    Research of coal mine water burst forecasting method based on PCA-ELM by LI Pei, CHEN Ying, MA Xiao-ping, YU De-xiang

    ISSN: 1671-251X
    Published: Editorial Department of Industry and Mine Automation 01.09.2013
    “… a coal mine water burst forecasting method based on PCA-ELM , and established coal mine water burst forecasting model with the method…”
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    Journal Article
  6. 6

    基于支持向量机与特征降维的直流断路器机械故障诊断技术研究 by 夏加富, 叶奕君, 郭嘉俊, 谭佳明, 杨爱军, 王小华, 荣命哲

    ISSN: 1001-1609
    Published: 武汉船用电力推进装置研究所,武汉 430064%西安交通大学电力设备电气绝缘国家重点实验室,西安 710049 16.02.2024
    Published in 高压电器 (16.02.2024)
    “…直流断路器机械故障诊断算法是直流断路器机械状态在线监测系统的核心部分.文中进行了直流断路器机械故障模拟实验,采集不同故障下的线圈电流及振动信号,对其进行特征提取…”
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    Journal Article
  7. 7

    Study of discrimination of corn seed based on near-infrared spectra and artificial neural network model by Chen, Jian, Chen, Xiao, Li, Wei, Wang, Jia-hua, Han, Dong-hai

    ISSN: 1000-0593
    Published: China 01.08.2008
    Published in Guang pu xue yu guang pu fen xi (01.08.2008)
    “…A new non-destructive and rapid method was developed to discriminate varieties of corn seeds…”
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    Journal Article
  8. 8

    Application of PCA plus OPLS method in rapid reserve production rate prediction of shale gas wells by LIU Honglin,ZHOU Shangwen,LI Xiaobo

    ISSN: 2095-1426
    Published: Editorial Department of Petroleum Reservoir Evaluation and Development 01.08.2023
    Published in Youqicang pingjia yu kaifa (01.08.2023)
    “… The results show that the average accuracy of reserve recovery ratio prediction using PCA-OPLS method surpasses the anticipated…”
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    Journal Article
  9. 9

    3-D modeling of origin discrimination of fragrant mushrooms using visible/near infrared spectra by Yang, Hai-qing, He, Yong, Chen, Yong-ming, Lin, Ping, Wu, Di

    ISSN: 1000-0593
    Published: China 01.06.2008
    Published in Guang pu xue yu guang pu fen xi (01.06.2008)
    “… First, the spectral data ranging from 375 to 1025 nm were analyzed by principal component analysis (PCA…”
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    Journal Article
  10. 10

    Analysis of Chinese medicine tablets on coating quality based on support vector machine by Zai, Baochan, Shi, Xinyuan, Qiao, Yanjiang

    ISSN: 1001-5302
    Published: China 01.03.2010
    Published in Zhongguo zhongyao zazhi (01.03.2010)
    “…) method was used to select the training sets and internal principal component analysis (internal PCA) was to select the optimal wavelength…”
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    Journal Article
  11. 11

    Fault Diagnosis Method of Wind Turbine Pitch Angle Based on PCA-KNN Fusion Algorithm by Xi CHEN, Luping LI, Rui LIU, Bo YANG, Zihao DENG, Zhonggui LI

    ISSN: 1004-9649
    Published: State Grid Energy Research Institute 01.11.2021
    Published in Zhongguo dian li (01.11.2021)
    “… turbine is proposed, depending on nonparametric kernel density estimation and Relief-F based feature extraction for data processing and the PCA-KNN fusion algorithm for fault diagnosis…”
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    Magazine Article
  12. 12

    Using neural networks based template matching method to obtain redshifts of normal galaxies by Xu, Xin, Luo, A-li, Wu, Fu-chao, Zhao, Yong-heng

    ISSN: 1000-0593
    Published: China 01.06.2005
    Published in Guang pu xue yu guang pu fen xi (01.06.2005)
    “…Galaxies can be divided into two classes: normal galaxy (NG) and active galaxy (AG). In order to determine NG redshifts, an automatic effective method is proposed in this paper, which consists of the following three main steps…”
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    Journal Article
  13. 13

    Spectral similarity measure and retrieval based on the complete spectral reflectance and absorption feature--nonlinear spectral angle mapper by Tang, Hong, Fang, Tao, Shi, Peng-fei

    ISSN: 1000-0593
    Published: China 01.02.2005
    Published in Guang pu xue yu guang pu fen xi (01.02.2005)
    “… In this method, on one hand, nonlinear transformation and removing high relativity among bands are used through kernel PCA…”
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    Journal Article
  14. 14

    An improved low spectral distortion PCA fusion method by Peng, Shi, Zhang, Ai-Wu, Li, Han-Lun, Hu, Shao-Xing, Meng, Xian-Gang, Sun, Wei-Dong

    ISSN: 1000-0593
    Published: China 01.10.2013
    Published in Guang pu xue yu guang pu fen xi (01.10.2013)
    “…Aiming at the spectral distortion produced in PCA fusion process, the present paper proposes an improved low spectral distortion PCA fusion method…”
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    Journal Article
  15. 15

    Influence of different coal particle sizes on near-infrared spectral quantitative analytical models by Lei, Meng, Li, Ming, Wu, Nan, Li, Ying-Na, Cheng, Yu-Hu

    ISSN: 1000-0593
    Published: China 01.01.2013
    Published in Guang pu xue yu guang pu fen xi (01.01.2013)
    “…, 0.2, 1, 3 and 13 mm, were studied in this paper. The feature information of spectra was extracted by PCA method, then two quantitative analytical models were established based on GA-BP and GA-Elman neural network algorithms…”
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    Journal Article
  16. 16

    基于粒子群优化的支持向量机人脸识别 by 廖周宇;王钰婷;谢晓兰;刘建明

    ISSN: 1000-3428
    Published: 河池学院计算机与信息工程学院,广西宜州,546300%桂林理工大学广西高校嵌入式技术与智能信息处理重点实验室,广西桂林,541000%玉林师范学院复杂系统优化与大数据处理重点实验室,广西玉林,537000 2017
    Published in 计算机工程 (2017)
    “…针对传统主成分分析(PCA)算法提取人脸特征时效率低下的问题,对其求解样本协方差矩阵的特征值和特征向量的过程进行改进,提出一种基于快速PCA降维算法的人脸识别方法。使用交叉验证方法,将支持向量机(SVM)模型训练时的识别准确率作为粒子群的适应度值,利用粒子群优化算法对SVM惩罚参数和核函数参数进行全局寻优,得到参数…”
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    Journal Article
  17. 17

    Fast detection of sugar content in fruit vinegar using NIR spectroscopy by Wang, Li, Li, Zeng-fang, He, Yong, Liu, Fei

    ISSN: 1000-0593
    Published: China 01.08.2008
    Published in Guang pu xue yu guang pu fen xi (01.08.2008)
    “… Principal component analysis (PCA) is a method which has been widely used in the spectroscopic analysis, and LS-SVM is a new data mining algorithm developed from the machine learning community…”
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    Journal Article
  18. 18
  19. 19

    Chemometrics for pattern recognition by Brereton, Richard G

    ISBN: 9780470987254, 0470987251
    Published: Chichester, U.K Wiley 2009
    “…Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the increase in capabilities of…”
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  20. 20

    An optimized identification method of coal-bearing stratum lithology by ZHANG Ning, ZHANG Youzhen, YAO Ke

    ISSN: 1671-251X
    Published: Editorial Department of Industry and Mine Automation 01.07.2020
    “… underground, an optimized identification method of coal-bearing stratum lithology based on principal component analysis (PCA…”
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    Journal Article