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为了研究适合近红外光谱无损检测脐橙VC 含量的光谱预处理方法, 比较了11 种光谱预处理方法对偏最小二乘法( PLS) 建模预测效果的影响。结果表明, 小波消噪效果最好, 模型预测值与标准值的相关系数R 达到0. 957 4, 交叉验证预测均方差仅为3. 90, 最优光谱波段为7 501. 7~5 449. 8 cm- 1, 主成分数为8。小波消噪是脐橙VC 含量近红外光谱无损检测的有效光谱预处理方法。-In order to search an appro priate pret reatment method to nondest ruct ive measure vitamin C co ntent of umbilical orange, the ef fect of 11 pretr eatment methods to the model based on PLS has been compar ed. T he result s show ed that the best ef fect w as wav elet do-noised. It s R w as 0. 957 4, it s R MS ECV w as 3. 90, it s best w av e band w as 7 501. 7~5 449. 8 cm- 1, and it s principal element w as 8. T he w avelet do-noised was an ef ficient method to nondest ruct ive measure vitamin C content of umbilical o rang e w ith near-inf rared spect roscopy.
Update : 2024-05-19 Size : 646144 Publisher : ygliang30

PCA_face_recognition,使用主成分分析PCA的方法进行人脸识别-PCA_face_recognition, using principal component analysis PCA method for face recognition
Update : 2024-05-19 Size : 4221952 Publisher : qq

主成分分析法与因子分析法应用辨析,可以比较出二者的不同-Principal component analysis and factor analysis applied Analysis, a comparison between the two different
Update : 2024-05-19 Size : 301056 Publisher :

基于主成分分析的武汉市经济社会发展综合评价研究-Principal Component Analysis of Wuhan' s economic and social development of a comprehensive evaluation of
Update : 2024-05-19 Size : 139264 Publisher :

银行定期储蓄管理系统, 该系统存贮以下信息:1.每笔存款的储户信息和办理该笔存款的营业员信息,这些信息存放于存款文件中。其中,储户信息包括:帐号,姓名,密码,地址,储种(定期1年、3年、5年),本金,收储日期,是否已挂失和挂失日期,营业员信息包括:接待该储户的营业员的姓名与工号。2.每笔取款的储户信息和办理该笔取款的营业员信息,这些信息存放于取款文件中。-Bank fixed deposit management system, which store the following information: 1. Each deposit depositors for deposit information and the sales information, the information stored in the deposit file. Among them, the depositor information, including: account number, name, password, address, storage types (regular 1 year, 3 years, 5 years), principal, purchasing and storage date, whether the date of loss and loss, sales information, including: reception of the depositors salesperson' s name and job number. 2. Information and each depositor for withdrawal of the sum withdrawals salesperson information, which information is stored in the ATM file.
Update : 2024-05-19 Size : 73728 Publisher : 庄某

DL : 0
CH451芯片的资料说明,这时pdf格式的资料,里面介绍了CH451的结构原理以及操作方法,是学习CH451必不可少的资料。-the discripetion of CH451, this is a file of PDF type,which can tell you the principal of CH451 and how to control CH451.
Update : 2024-05-19 Size : 373760 Publisher : maxiao

DL : 0
该程序是主成分分析的重要程序,能对特征进行有效的分析。特别适合初学者。-自动检测中英文中译英英译中百度翻译 翻译结果(中 > 英)复制结果 The program is the principal component analysis of main program, the characteristics of effective analysis. Particularly suitable for beginners.
Update : 2024-05-19 Size : 32768 Publisher : 司马相如

该源代码可以显示bmp图像,并能对其进行滤波处理,特别适合初学者。-The source code can display BMP images, and can carry on the filter processing, especially suitable for beginners. 双语对照查看 翻译结果重试 The program is the principal component analysis of main program, the characteristics of effective analysis. Particularly suitable for beginners. 双语对照查看 翻译结果重试 抱歉,系统响应超时,请稍后再试 支持中文、英文免费在线翻译 http://fanyi.baidu.com/translate
Update : 2024-05-19 Size : 4909056 Publisher : 司马相如

DL : 0
本程序适合学生去求矩阵的特征值和特征向量,对主成分分析有很大的帮助。-This program suitable for students to seek the matrix eigenvalue and eigenvector, the principal component analysis is of great help. 双语对照查看 翻译结果重试 抱歉,系统响应超时,请稍后再试 支持中文、英文免费在线翻译 支持网页翻译,在输入框输入网页地址即可 提供一键清空、复制功能、支持双语对照查看,使您体验更加流畅 双语对照查看 翻译结果重试 抱歉,系统响应超时,请稍后再试 支持中文、英文免费在线翻译 http://fanyi.baidu.com/translate
Update : 2024-05-19 Size : 248832 Publisher : 司马相如

DL : 0
提供简单的线性PCA对二维数据主分量的提取,内附example.m,直接运行即可调用LinearPCA功能函数-LinearPCA. Give an exanple to extract principal component of 2-d data
Update : 2024-05-19 Size : 19456 Publisher : 夏恋

matlabpca
DL : 0
主成分分析pca算法matlab程序代码:pca标准化、协方差、特征根特征向量、方差贡献率-Principal component analysis pca algorithm matlab code: pca standardized covariance, eigenvalues ​ ​ eigenvectors, the variance contribution rate. . .
Update : 2024-05-19 Size : 1024 Publisher : zlw

DL : 0
降维工具箱,包含主元分析(PCA),核主元分析(KPCA)等。-Dimensionality reduction kit, including principal component analysis (PCA), Kernel Principal Component Analysis (KPCA) and so on.
Update : 2024-05-19 Size : 2030592 Publisher : lp

实现了模式识别中主成分分析(PCA)算法,可以对目标快速分类-To achieve the pattern recognition principal component analysis (PCA) algorithm, can be quickly classified on the target
Update : 2024-05-19 Size : 1024 Publisher : 李用

pc 理论分析与应用 ,详细介绍了 pca主成分分析法的应用-pc theoretical analysis and application, details of the pca principal component analysis of the application
Update : 2024-05-19 Size : 2048 Publisher :

pdf principal component analysis kernel pca
Update : 2024-05-19 Size : 373760 Publisher : mehdi

本人自己做的三篇数学建模论文 一个是基于主成分分析的人口增长预测 一个是基于排队论的高速公路收费口的设置 一个是关于航班的-I own the three papers of mathematical modeling is based on principal component analysis of a population forecast is based on queuing theory, a highway toll gate, setting one on the flight
Update : 2024-05-19 Size : 236544 Publisher : bihongliang

matlabECG
DL : 0
The early detection of arrhythmia is very important for the cardiac patients. This done by analyzing the electrocardiogram (ECG) signals and extracting some features from them. These features can be used in the classification of different types of arrhythmias. In this paper, we present three different algorithms of features extraction: Fourier transform (FFT), Autoregressive modeling (AR), and Principal Component Analysis (PCA). The used classifier will be Artificial Neural Networks (ANN). We observed that the system that depends on the PCA features give the highest accuracy. The proposed techniques deal with the whole 3 second intervals of the training and testing data. We reached the accuracy of 92.7083 compared to 84.4 for the reference that work on a similar data.-The early detection of arrhythmia is very important for the cardiac patients. This is done by analyzing the electrocardiogram (ECG) signals and extracting some features from them. These features can be used in the classification of different types of arrhythmias. In this paper, we present three different algorithms of features extraction: Fourier transform (FFT), Autoregressive modeling (AR), and Principal Component Analysis (PCA). The used classifier will be Artificial Neural Networks (ANN). We observed that the system that depends on the PCA features give the highest accuracy. The proposed techniques deal with the whole 3 second intervals of the training and testing data. We reached the accuracy of 92.7083 compared to 84.4 for the reference that work on a similar data.
Update : 2024-05-19 Size : 273408 Publisher : Amit Majumder

DL : 0
principal component analysis (PCA ) is a well known approach for dimensionality reduction of the feature space. It has been successfully applied in face recognition. The main idea is to decompose face images into a small set of feature images called eigenfaces, which can be considered as points in a linear subspace called “face space” or “eigenspace”
Update : 2024-05-19 Size : 2048 Publisher : omid

matlabpca
DL : 0
PCA一种基于MATLAB软件的利用主元分析算法-PCA principal component analysis algorithm
Update : 2024-05-19 Size : 2048 Publisher : shuhua

DL : 0
主成分回归,可以提出自变量的影响。用MATLAB编写,运行通过。-Principal component regression, we can make the impact of independent variables. Using MATLAB, run through.
Update : 2024-05-19 Size : 1024 Publisher : Desmond
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