TaylorAlgorithm

good work on Pole placement method

本代码提供SVD算法Matlab实现，实现SVD分解，并返回分解值。(This code provides SVD algorithm Matlab, the realization of SVD decomposition, and a return value decomposition.)

基于matlab的var模型应用 youyong(matlab var)

MATLAB图像处理，使用界面设计GUI，对一幅图像中的红细胞进行计数(MATLAB image processing, user interface design GUI, to an image of red blood cell counts)

matlab图形位置转换，图像识别位移等功能的实现(matlab graphical position conversion, image recognition and displacement functions to achieve)

PROJECT ABOUT THE ROBOTIC MOVEMENT IN THE MATLAB SIMULATION HAND MOVEMENT INTHE REAL TIME

《matlab科学计算与可视化仿真宝典》书中所有实例代码(" Matlab scientific computing and simulation book" all instances of the code book)

This model to simulate flicker in single phase system.

unsteady heat conduction in a plate

（压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat 3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat 4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat 5.用runfnn.m对rstest进行测试得到其识别率 savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.(pca+ lda+ Rough Set+ fuzzy neural network saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat 2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat 3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat 4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat 5. Rstest used to test for runfnn.m by its recognition rate cm.m is savem.m and minimum distance classifier on the training set and test set classificati)