层析分析法

说明：  作为MATLAB软件的初学者，一定要分析一些小算例，这里包含60个基本的小算例！(MATLAB software as a beginner, we must analyze some small example, contains 60 basic little example!)

matlab2010开发环境，实现高斯金字塔，修改图片地址即可，测试成功，代码注释详细(matlab2010 development environment to achieve the Gaussian pyramid, modify the picture address test is successful, the code comments in detail)

改进的多目标粒子群算法，包括多个测试函数 对程序中的部分参数进行修改将更好地求解某些函数 程序中的所有代码都是本人根据多目标粒子群算法设计实现的(ZDT1NP=cell(1,50) ZDT1FV=cell(1,50) ZDT1T=zeros(1,50) )

数字PID的matlab仿真程序，针对刘金琨的先进PID控制的matlab仿真，里面的部分程序进行了修改(Digital PID of matlab simulation program for Liu Jinkun matlab advanced PID control simulation, which part of the program were modified)

Matlab collected books for many fields

属性约简的matlab代码：实现了基于信息熵、模糊信息熵；这些算法可以同时处理离散变量和数值变量，无须离散化。(Attribute Reduction of matlab code: to achieve based on information entropy, fuzzy information entropy these algorithms can deal with discrete variables and numerical variables without discretization.)

用Matlab计算导数及偏导数 .rar 可以(Calculated using Matlab Derivative and partial derivative. Rar can)

说明：  这是一个关于遗传算法的程序，本人师兄编写的，绝对能够运行~(This is a process of genetic algorithm, written in my brother definitely be able to run ~)

利用MATLAB程序中的inline和nlinfit两个命令对血药浓度-时间数据进行非线性拟合,求解血管外给药的药动学参数。同时与3P97软件计算结果进行了比较,结果表明,基于MATLAB程序可方便快速地求解血管外给药的各个药动学参数,计算结果与3P97软件计算值相当,且本方法操作简便、界面直观、易于推广,可用于临床教学或实验中药动学参数的计算。 更多还原 (Using MATLAB program inline and nlinfit two commands to the plasma concentration- time data by nonlinear fitting, solving the pharmacokinetic parameters of extravascular administration. Simultaneously with the 3P97 software to calculate the results were compared, the results show that can quickly and easily solve extravascular administration of various pharmacokinetic parameters based on MATLAB, the results calculated with 3P97 software fairly, and that the method is simple, intuitive interface, easy to spread, can be used to calculate the clinical teaching or experimental medicine pharmacokinetic parameters. More Restore)

MATLAB教程，可以很好的进行matlab的系统学习(MATLAB tutorials, can be very good for a systematic study of matlab)