VBEMGMM

在简要分析遗传算法要素的基础上，介绍了基于MATLAB的遗传算法工具箱的设计。最后给出了一个 用设计的MATLAB遗传算法工具箱的求函数极值的应用实例。(In a brief analysis of the elements of genetic algorithm based on the introduction based on the MATLAB genetic algorithm toolbox design. Finally, a design with MATLAB Genetic Algorithm Toolbox for the application of extreme value function.)

说明：  里面包含了插值，函数逼近的各个算法。很知道大家去学习(Which contains the interpolation, function approximation of the various algorithms. We are aware that to learn)

将原信号进行EMD分解，得到一系列IMF分量，这些分量是按频率从高到低排列(EMD decomposition of the original signal to obtain a series of IMF components, which are arranged according to the frequency high to low)

贝叶斯网络教案中的洒水车源代码，含抽样代码。(Bayesian model case study in the sprinkler)

进行数据的预处理，标准化和白化，便于数据的后续分析(Data preprocessing, standardization and whitening, facilitate the subsequent analysis of data)

说明：  一般粒子群算法，可以解决一般的优化问题，有较好的收敛性和计算速度。(General particle swarm algorithm to solve optimization problems in general, better convergence and calculation speed.)

PSO算法的一些介绍，有相应程序作为补充，对理解PSO算法的基础比较有用(Some introduced PSO algorithm, there is a corresponding program as a supplement, the basis for understanding the PSO algorithm is useful)

《MATLAB神经网络超级学习手册》随书光盘，《MATLAB神经网络超级学习手册》以神经网络结构为主线，以学习算法为副线，结合各种实例，目的是使读者易看懂、会应用。本书是一本简明介绍MATLAB神经网络设计技能的综合性用书。《MATLAB神经网络超级学习手册》深入浅出，实例引导，讲解详实，既可以作为高等院校理工科的研究生、本科生的教材，也可作为广大科研工程技术人员的参考用书。( MATLAB neural network super learning Handbook CD with the book, MATLAB neural network super learning manual to the neural network structure of the main line, as Vice-line learning algorithm, combined with a variety of examples is intended to enable readers to easily understand, will be applied. This book is a brief introduction to MATLAB neural network design skills and comprehensive book. MATLAB neural network super learning Handbook in layman s language, examples guidance, detailed explanation, either as colleges of science and engineering graduate students, undergraduate teaching, but also can be used as a reference the majority of scientific engineering and technical personnel of the book.)

以GUI实现指纹的识别和匹配百分比,中间有对指纹的二值化，M连接，特征提取等处理(GUI fingerprint recognition and matching percentage, the middle of the fingerprint binarization M connection, feature extraction and processing)

this code describe extract feauter