Deskt234op

这是用matlab编写的常用概率算法,非常有用,欢迎下载哈!(This is commonly prepared using matlab probability algorithm, very useful, welcome to download and Kazakhstan!)

说明：  人脸区域检测，对图像中的人脸区域进行检测并用矩形框标记。(Face region detection, face image in the region to detect and mark with a rectangular box.)

一个很好的KNN算法的matlab程序，供参考(it is a good program writting with matlab under windows)

傅立叶变换的matlab实现和傅立叶反变换的matlab实现，入口参数是：t和f，出口参数是f和t(Matlab Fourier Transform and Fourier Transform realize the matlab realize, the entrance parameters are: t and f, the export parameters are f and t)

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)

合成孔径雷达SAR图像成像中多普勒中心检测的六种算法，使用matlab编程(synthetic aperture radar images Doppler imaging centers in the six detection algorithm, the use of Matlab programming)

这是我见过的最好的小波教程，对于小波学习很有帮助，通俗易懂。(This is the best I' ve ever seen wavelet tutorial, for wavelet study helpful, easy to understand.)

本程序用于进行平板裂纹扩展，模拟，分析，平板内气孔夹杂的分析，使用的方法为扩展有限元法（XFEM）,程序语言为MATLAB.(This procedure is used for the analysis of plate crack propagation, simulation, and analysis of void inclusion in a plate, using the method for the extended finite element method (XFEM), and the programming language for MATLAB.)

建立LibSVM预测模型，基于网格算法、粒子群算法、遗传算法优化了模型参数，并由最终模型预测了给定切削参数下零件的粗糙度等级。(Establish LibSVM prediction model, grid-based algorithm, particle swarm optimization, genetic algorithm to optimize the parameters of the model, the final model prediction given by the cutting parameters of parts roughness class.)

matlab上通过GUI实现神经网络的实例(GUI netural network experiment.)