fuzzy-PID

pca主元分析提取出过程中最能表征系统特征的部分，对过程进行故障监测(pca is used to predict filture)

JADE算法分析 用于独立分量分析和盲源分离算法(JADE algorithm)

用MATLAB编写，采用som网络，来进行归类（随机初始权值）(Written with MATLAB, using som networks to classified (random initial weights))

This is Version 3.2 of Regularization Tools for Matlab 6.0 from Per Christian Hansen, IMM.

it is a matlab code (simulink) that simulate two jack that they ascend a load with feedback.that load would not to being sloped.

Cleve Moler的MATLAB教材Numerical Computing with MATLAB和代码，介绍MATLAB数值方法入门，计算技巧的教材。(Numerical Computing with MATLAB is a textbook for an introductory course in numerical methods, Matlab, and technical computing.)

image fusion using DCT

11.C++ Primer 3rd（中文版）,众所周知的C++学习经典书籍，C++学习圣经(11.C++ Primer 3rd (Chinese version))

最小二乘算法实现定位解算的MATLAB代码，并且包含GDOP、HDOP、TDOP等计算(Least-squares algorithm using MATLAB code positioning solver, and includes GDOP, HDOP, TDOP, etc.)

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)