FSADA

matlab初学者适用，很好的matlab学习资料，推荐！(matlab beginners apply matlab good learning materials, recommended!)

（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)

说明：  这个源码提供了如何利用高斯混合模型去做影像辨识的模型分类(the source how to use a Gaussian mixture model to do imaging Identification Classification Model)

此代码是被用在分形理论中，用来求出分行维数(This code is used in the fractal theory, used to derive the branch dimension)

image source method old

考虑雨衰 阴影 和多径影响，利用自然梯度算法，非归零型差分相位调制信号建模与仿真分析 ，能量熵的计算，借鉴了主成分分析算法（PCA），基于负熵最大的独立分量分析，包括最小二乘法、SVM、神经网络、1_k近邻法。( Consider shadow rain attenuation and multipath effects Use of natural gradient algorithm, NRZ type differential phase modulation signal modeling and simulation analysis, Energy entropy calculation, It draws on principal component analysis algorithm (PCA), Based on negative entropy largest independent component analysis, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.)

说明：  详细讲解EM（期望最大化）算法，并使用混合高斯分布示例编程实现解答(Explain EM (expectation maximization) algorithm in detail, and use mixed Gaussian distribution example programming to realize the solution)

用matlab编写的形状记忆合金的受限回复曲线。(Shape memory alloy using matlab restricted Reply curve.)

关于四旋翼飞行器的控制仿真，串级PID算法。有相关文献。(Control simulation of four rotor aircraft, cascade PID algorithm. There are relevant documents.)

图像分解算法及其应用，非常好的源码，希望对你有些帮助！(Image decomposition algorithm and its application, very good source, I hope you some help!)