搜索资源列表
数值分析中的各种插值
- Lagrange插值+Newton插值+分段线性插值+复合梯形公式求定积分+列主元高斯+牛顿迭代+数据拟合+线性方程组迭代+++追赶法(1)
pca
- PCA主元分析后用神经网络预测，A/S含量，PCA算法实现，与神经网络-PCA principal component analysis using neural network prediction, A/S content, PCA algorithm, and neural network
PCA_ME
- 简单的主元分析法（PCA）的代码，希望能有帮助-Simple method of principal component analysis (PCA) of the code, hoping to help
kpcaprogram
- 核主元分析程序，本人毕业设计程序，用于降维，监测Te过程故障，误诊断率低。-KPCA program, I graduated from the design process for dimension reduction, monitoring Te process failure, error diagnosis rate is low.
gauss
- 数值分析中线性方程组直接求解的高斯列主元消去法的源代码-Numerical Analysis of linear equations to solve the direct Gauss elimination pivot column source code
pca
- 主元分析的matlab源代码，对于一个样本空间可以获得其主元成分-Principal component analysis, Matlab source code for a sample space to obtain the main element composition
PCA
- 主元分析 PCA的源代码程序 用于对于复杂的数据进行提取主元-The principal component analysis PCA source code program to extract the main element is used for complex data
PCA
- 主元分析-PCA analysis
PCA
- 主元分析是对数据进行平移和旋转变换，提取几个比较重要的变量来表示原始空间中的重要信息，实现对数据的降维-Principal component analysis for data translation and rotation transformation to extract a few of the more important variables to represent the important information in the original space, to achiev
zl
- 实现主元分析方法的仿真，该程序在matlab下运行，并能够有效的输出结果。-To achieve the main element analysis method of simulation, the program matlab running, and be able to effectively output.
zl
- 对主元分析方法的编程，实现降维的目的，并有效的得到得分矩阵，输出结果-Principal component analysis method for programming, achieve the purpose of dimension reduction and effective to get the score matrix, the output
zl
- 主元分析方法的仿真，在matlab下运行，可以得到得分矩阵，并起到了降维的目的-Principal component analysis method of simulation in matlab running, you can get the score matrix, and played a dimensionality reduction purposes
kpca
- 这是一段核主元分析算法的源程序，仅供参考-This is a kernel principal component analysis algorithm source code, for reference only
pca
- 里面包含主元分析PCA的Matlab代码 协方差 贡献率-Matlab code which contains the covariance contribution rate of principal component analysis PCA
pca
- 是用主元分析法实现的较高识别率的人脸识别，开发环境是MATLAB-It is the principal component analysis method is used to implement the high recognition rate of face recognition, development is the MATLAB environment
PCA
- 能够实现对多维数据的PCA主元分析，对数据降维，提取主元。-PCA principal component analysis can be achieved, for data dimensionality reduction, extraction PCA
主元分析
- 主元分析PCA的讲解PPT，看起来还可以(Principal component analysis PCA explain PPT, looks like you can do it)
算法大全
- 回归分析，神经网络讲解及代码，时间序列模型分析及代码，多元分析代码及讲解、偏最小二乘代码及讲解、(Regression analysis, neural network explanation and code, time series model analysis and code, multiple analysis code and explanation, partial least square code and explanation,)
算法大全
- 回归分析，神经网络讲解及代码，时间序列模型分析及代码，多元分析代码及讲解、偏最小二乘代码及讲解、(Regression analysis, neural network explanation and code, time series model analysis and code, multiple analysis code and explanation, partial least square code and explanation,)
On PCA-based fault diagnosis techniques
- 主元分析，故障诊断，Steven X. Ding(PCA method, fault diagnosis, authored by Steven X. Ding)