ex2_c.m

Matlab 复杂网络工具包，对复杂网络的研究有很大的重要性。(Matlab complex network toolkit for complex network research has great importance.)

详细讲述用于APF的svpwm控制系统的MATLAB仿真各板块结构和基本原理(A detailed account for the APF svpwm control system MATLAB simulation)

matlab入门书籍，好好学习，将来一定会有用处的。(Matlab entry books, study well, in the future will be useful. )

OFDM的Matlab仿真源代码，简单易懂，适合初学者迅速上手(OFDM Matlab simulation source code, easy to understand for beginners to get started quickly)

用matlab实现WGS84到北京54高斯坐标转换的GUI实现(Matlab to Beijing WGS84 54 gaussian coordinate transformation GUI realized)

《matlab应用大全》赵海滨编著，清华大学出版社，第六章主讲积分和微分的运算源代码(The application of matlab Zhao Haibin compiled, tsinghua university press, the application of matlab Zhao Haibin compiled, tsinghua university press, chapter 6 on integral and differential operation of the source code)

用matlab仿真出HDB3编码以及译码和信源的仿真曲线(Matlab simulation using the HDB3 encoding and decoding and source of the simulation curve)

说明：  最小二乘法的简单应用，以及算法实现，作为参考。(Simple application of least squares, and the algorithm, as a reference.)

ga的一个仿真例子程序，还不错，用起来效果比较好，需要自己根据项目情况写适应度函数(ga a simulation example of the procedure, but also good to use effect is better, the basis of project information required to write their own fitness function)

（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)