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matlab的经典教学案例，初学者的最好资料，来看看吧。(matlab classic teaching case, the best information for beginners, have a look.)

mtlab粒子群优化模糊RBF神经网络整定PID控制(mtlab Particle Swarm Optimization Fuzzy RBF neural network PID control tuning)

for watershed algorithm

LBP算法源代码 LBP算法源代码 LBP算法源代码 LBP算法源代码(LBP algorithm source code LBP algorithm source code LBP algorithm source code LBP algorithm source code)

Algoritmo de K-Vecinos Más Cercanos

nice matlalc code for browsing through an array of related plots

分布GUI. With this GUI you can find the best distribution that fits your data.(With this GUI you can find the best distribution that fits your data.)

最小方差自校正调节器matlab程序。运用最小二乘法，可设定遗忘因子。(Minimum variance self-tuning regulator matlab program. Least square method, you can set a forgetting factor.)

mATLAB教程第六章案例，时间变动序列(mATLAB Tutorial Chapter VI case, the time sequence changes)

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)