Neural_network_theory

The statements below guide us to write the code for the transmission of sensed data to a sink node using cognitive radios in multiple spectrum bands. In doing this we are trying to find the most appropriate modulation scheme using MATLAB simulation.

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.)

说明：  MATLAB软件简介以及实用统计算法分析(Introduction to MATLAB software, and utility of statistical algorithms)

MATLAB语言入门教程 给初学者学习MATLAB用(Tutorial MATLAB language to beginners learning to use MATLAB)

采用MATLAB实现对天线数据的仿真拟合(Using MATLAB simulation data to achieve the antenna fit)

本资料中是关于匈牙利算法的matlab实现的程序(Edmonds matlab)

limitation of load angle in pmsm

用四阶亚当斯显式公式求解常微分方程初值问题是一种比较有效的方法(Adams with the fourth-order explicit formula for solving ODEs is a more effective method)

说明：  Needleman-Wunsch algorithm Matlab.

通过现实数据集对混合蛙跳算法SFLA聚类性能进行评测，得到图示说明算法性能。(Real data set by clustering performance evaluation of SFLA to get illustrates algorithm performance.)