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VC++中使用MATLAB的C++数学库和MCC生成的程序，给出了例程，对于高手有借鉴意义，对菜鸟可以起到事半功倍的作用。(VC++ in the use of MATLAB' s C++ Math Library and MCC procedures generated are given routine, you have a reference for the rookie can play the role of a multiplier.)

基本使用说明如下： 1、文件夹中均为MATLAB软件M文件程序； 2、程序文件为每一章节中例题的MATLAB程序电子版，程序名与例题名序号相对应； 3、此文件夹中的程序已经经过调试，在MATLAB 7.0或以上版本中均可以正常运行； 4、程序头中功能介绍了此程序的主要实现的功能。 (Basic use is as follows: 1, folder files are MATLAB software M procedures 2, the program file for each of the sections in the example of the electronic version of MATLAB program, the program name and serial number of the corresponding sample questions 3, in this folder procedures have been debug, in MATLAB 7.0 or above in both the normal operation 4, the procedure first introduced in the function of this program the main function.)

An LMS-Based Adaptive Generalized Sidelobe Canceller with Decision Feedback

可以实现粗糙集的整个算法，从上下近似、属性约简、属性重要度到决策规则的输出和规则的确定性因子，全部实现。内附测试数据，有详细的注解，可以实现与数据库的直接连接。(Rough set can be achieved throughout the algorithm, from top to bottom approximation, attribute reduction, attribute importance to the uncertainty factor output of decision rules and regulations, all to achieve. Enclosing the test data, detailed notes, can be achieved with a direct connection to the database.)

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matlab源程序： 用Fisher两类判别法对样本进行分类 对样本进行主成分分析 用最短距离算法的系统聚类对样本进行聚类 用二次完全式回归法估计一个因变量与两个自变量之间的关系 (matlab source: The Fisher discriminant method, two types of samples to classify the samples by principal component analysis system using the shortest distance clustering algorithm for clustering of samples with the quadratic regression method to estimate a fully dependent variable and two independent variables of the the relationship between the)

多目标优化算法的求解方法，是SCE-UA方法的升级版，很好用的，供大家分享(Method for solving multi-objective optimization algorithm is an upgraded version of the SCE-UA method, good for people to share )

本程序描述了无导师学习的神经网络用于一般的分类问题(This procedure describe no mentor learning neural network used for general classification problem)

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