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this is a code for gui and it contains the matlab language codes and its really working codes.i think it will work for the people who are looking for it

用matlab编写的，处理非线性问题的线性拟合源程序(Using matlab prepared to deal with nonlinear problems fitting linear source)

CODE FOR CR TFF FOR IMAGE POCESSING

无网格EFG一维matlab程序 可参见张雄无网格专著(Meshless EFG one-dimensional matlab program can be found in Zhang Xiong meshless monograph)

包含多个完整的ofdm相关仿真程序，满足需要(Ofdm multiple complete the relevant simulation program, to meet the needs)

可以获取Libsvm训练的model中支持向量在原始数据中的位置。(this function can get the model Libsvm training support vector in the original data.)

matlab2014a 破解,很好用的，已经测试过，好用请给好评。(matlab 2014a crack,easy use,tested.)

组合数学和图论中的概率方法 组合数学和图论中的概率方法.pdf(Combinatorics and graph theory probabilistic methods)

这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码，同学们可以在此基础上学习和修改，入口程序已经写好，需要其他方法可以自己添加，MAIN.m是入口程序，参数的意思在子函数里讲的很明白，调用了featureselect_FW_fast.m用来属性约简，几个clsf_dpd文件是使用不同的距离公式来计算属性重要度，选择得到属性结果，使用crossvalidate.m十折交叉算法来计算计算算法精度，该段代码调用了几个分类器，C4_5.m是决策树，KNN.m是最近邻分类器，NEC.m是类似于KNN的胡修改的程序，osu_svm3.00文件夹是使用svm分类器调用的文件，使用该分类器时，代码中间的路径需要修改。另外附上一堆常用的数据集。(This is Hu Qinghua teacher at Tianjin University neighborhood rough set field do the most classic source code, students can learn and modify On this basis, the entry procedures have been written, you need other ways to add your own, MAIN.m entry program is meaning parameters Functions talked in very clear call for the featureselect_FW_fast.m attribute reduction, several clsf_dpd file is to use a different formula to calculate the distance attribute importance, choose properties to get the results, use crossvalidate.m ten fold cross algorithm to calculate the accuracy of the calculation algorithm, the segment code calls several classifiers, C4_5.m is a decision tree, KNN.m is the nearest neighbor classifier, NEC.m is similar to KNN Hu modified program, osu_svm3. 00 folders using svm classifier called file, using the classification code in the middle of the path need to be modified. Also attach a bunch of common data sets.)

利用BBO算法来优化网络负载均衡，达到很好的效果，比传统方法优越。很适合正在用智能算法优化网络映射的学者。(BBO algorithm to optimize the use of network load balancing, to achieve good results, superior to traditional methods. It is optimized for network mapping scholars intelligent algorithms.)