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- 本程序用pca，kpca,svm,pls,fisher，贝叶斯实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之六十八-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate i
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- 本程序用pca，kpca,svm,pls,fisher，贝叶斯实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之六十七-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate i
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- The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate is sixty-seven perce-The program use pca, kpca, SVM, PLS, fisher, bayesian r
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- 本程序用pca，kpca,svm,pls,fisher，贝叶斯实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之六十-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate is
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- 本程序用pca，kpca,svm,pls,fisher，贝叶斯实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之五十九-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate i
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- 本程序用pca，kpca,svm,pls,fisher，贝叶斯实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之五十八-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate i
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- 本程序用pca，kpca,svm,pls,fisher，贝叶斯实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之五十七-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate i
5
- 本程序用pca，kpca,svm,pls,fisher，贝叶斯实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之五十六-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate i
pcaForSVM
- 关于SVM数据预处理的函数，降低维数的PCA函数-The function of data pretreatment on SVM, reduce dimension of PCA function
pcaForSVM
- 支持向量机（SVM）主成分分析法进行预处理筛选变量- support vector machine (SVM)，PCA(principal component analysis)
PCAPSVMPORL
- 对于人脸数据库ORL，先用PCA进行特征提取，然后用SVM进行分类识别。里面有ORL数据库。-The ORL face database, first using PCA feature extraction using SVM for classification. There ORL database.
FaceRec_Final
- 5-fold cross valication for Face recognition using PCA, SVM and KNN.
face-recognition
- 一个有关人脸识别的程序，是PCA和SVM的，可以运行-a code about face recognition
pca-svm
- 主成分分析，支持向量机介绍，PDF文档，自制-Principal component analysis, support vector machine, PDF documents, homemade
FaceRec
- 人脸识别系统 PCA降维， SVM 分类， 40*10人脸数据库 对机器视觉 智能识别有帮助 -face recognition
PCA_SVM
- 采用经典的PCA对人脸图像进行特征提取，用SVM分类器进行分类。-Classic PCA face image feature extraction, classification with the SVM classifier.
Ssvmmraru
- 支持向量机(SVM)、线形鉴别分析(LDA)、主主分量分析(PCA)与人工神经元网络(ANN)源代码 -Source code for the support vector machine (SVM), linear discriminant analysis (LDA), principal component analysis (PCA) and artificial neural network (ANN)
pq_pcasvm
- 使用小波能量差提取信号，PCA降维，SVM对电能质量扰动分类。-Extract the signal using the wavelet energy difference between the PCA dimensionality reduction, SVM classification of power quality disturbances.
Pprtools317a
- 模式识别 MATLAB 的工具箱,比较实用,包括SVM,IICA,PCA,NN等等模式识别算法.，已通过测试。 -MATLAB toolbox of pattern recognition, more practical, including SVM, IICA, PCA, NN pattern recognition algorithms. Has been tested.
pacVsm
- pca + svm人脸识别代码 图片目录需要自己修改-the pca+ svm Face Recognition code picture directory need to modify