matlabfenxin

说明：  这是自己写的一个贝叶斯网络分类器，可能存在问题，自己调一下(This is to write a Bayesian network classifiers, there may be problems, make your own look)

关于信道盲均衡及其改进算法的源代码，有参考价值，请关注(On Blind Equalization Algorithm and its source code, there is reference value, please pay attention)

基于多小波变换的阈值降噪技术的相邻系数法降噪算法(Based on multi-threshold wavelet transform coefficients of adjacent noise reduction noise reduction algorithm)

自适应学习字典代码：训练字典的MATLAB仿真程序，能够很好的认识字典训练事例 (Adaptive learning dictionary code: dictionary MATLAB simulation training, can very good dictionary training examples )

voice frequency Analysis

模糊C均值聚类的MATLAB实现，其中包含了10个MATLAB函数(Fuzzy C- Means clustering MATLAB, which contains 10 MATLAB function)

bem入门，使用mathematics编写的 我们要通过实例学习bem(Getting Started bem bem we learn through examples)

NAKAGAMI FADING COEFFICIENT

高斯变异的萤火虫群优化算法，实现简单，含有6个测试函数，运行方便。(Gaussian variation glowworm swarm optimization algorithm, simple, containing six test function, easy operation.)

.附件结构: gatbx.rar: (1)gatbx-origin.zip; (2)gatbx-toolbox.rar; (3)gatbx-example.rar 2.调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧,(Annex structure: gatbx.rar: (1) gatbx-origin.zip; (2) gatbx-toolbox.rar; (3) gatbx-Test_fns under the compression package need to be added to Mat. The lab search path can be done, and gatbx-origin is the original version of the toolbox provided by Sheffield University, without any changes, which can be used for comparison. 3. Gatbx-example is the source code of example debugging and the debugging instructions of each example. You can compare it with the original book. 4. It is assumed that the gatbx toolbox is better than the gads toolbox in the new version of MATLAB 7 in familiarizing and understanding the principle and calculation process of genetic algorithm, although it is less visualized than gads.)