demo3

说明：  MATLAB中很多函数，这是一个MATLAB函数大全的总结，希望对学习MATLAB的友友们有所帮助(Many MATLAB functions, MATLAB Function This is a summary of Guinness, and they hope to learn MATLAB help of the Friends of friends)

make rfs filter in the matlab

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.)

本文中有两个函数m文件：model126.m是一个用于预测的完全没有用工具箱函数的补偿模糊神经网络主程序，用于仿真、对比训练数据和网络输出的差异；cb.m是一个非线性系统的数学模型，在model126.m中用“ode45”函数求解这个数学模型后，可以得到105个x1(t)、x2(t)和y(t)，从而建立起一个两输入一输出的补偿模糊神经网络。(failed to translate)

介绍了MATLAB里一些常用的，基本函数的意义，对初学者有帮助。(Introduced in some of the commonly used MATLAB, the significance of the basic functions, help for beginners.)

echarts演示版代码，用于演示echarts基本使用(echarts demo code)

用matlab实现了五类灰色关联度模型的计算，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度、T关联度。附带两个测试用数据列的生成函数。(Matlab achieved with five gray correlation model calculation, including the Tang correlation degree, the absolute correlation, the slope of correlation to improve the absolute correlation, T correlation. Attached to the two test data out of the generating function.)

用matlab编写的数字信号滤波器！请大家多多指教啊！谢谢了(Matlab prepared by the digital signal filter! Please advice! :)

最大功率输出控制的光伏发电系统，通过输出功率作为反馈信号控制输入电压，是系统处于最大功率输出。(Maximum power output of photovoltaic power generation system controlled by the output power control input voltage as a feedback signal, the system at the maximum power output.)

这是一个实现牛顿插值的程序，比较经典，也横容易看懂(This is a realization of Newton' s interpolation procedure, compare the classic, but also easy to understand cross-)