iBatis

说明：  自己根据<最优化理论与基础>课本编的matlab程序 黄金分割法 自助输入目标函数及其梯度(Optimization: Gold Section Method Type in objective function and its gradient.)

for generate signal with noise for filter app

基于Matlab的小波去噪程序，和大家共同讨论(based on Matlab wavelet denoising procedures, and to discuss common)

一种比较高效的微粒群算法源码。效率比基本pso高很多(an efficient pso code)

除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。(In addition to the ant colony algorithm, can be used in the intelligent algorithm of PID parameter optimization and there are many, such as genetic algorithm, simulated annealing algorithm, particle swarm optimization (pso), artificial fish algorithm, and so on.)

内容为《MATLAB实用指南系列》各书用到的部分程序。包含MATLAB_syjc，MATLAB_gcsx，MATLAB_txtx，MATLAB_gjbc等4个目录。 MATLAB_syjc目录下为《MATLAB实用教程》用到的部分程序。 MATLAB_gcsx目录下为《MATLAB工程数学》用到的部分程序。 MATLAB_txtx目录下为《MATLAB图形图像》用到的部分程序。 MATLAB_gjbc目录下为《MATLAB高级编程》用到的部分程序。 所有程序均通过调试。环境为MATLAB 7.0, Visual Basic 6.0, Visual C++ 6.0, Excel 2000, SPSS 12.0, Windows 2000。(Says " MATLAB Practical Guide Series" of the book used some of the procedures. Contains MATLAB_syjc, MATLAB_gcsx, MATLAB_txtx, MATLAB_gjbc directory, etc. 4. MATLAB_syjc directory for " MATLAB Practical Guide," used some of the procedures. MATLAB_gcsx directory for " MATLAB Engineering Mathematics" used in some of the procedures. MATLAB_txtx directory for " MATLAB graphics images" used in some of the procedures. MATLAB_gjbc directory for " MATLAB high-level programming" used some of the procedures. All through the debugging process. Environment MATLAB 7.0, Visual Basic 6.0, Visual C++ 6.0, Excel 2000, SPSS 12.0, Windows 2000.)

NEURO-FUZZY BASED CONTROLLER FOR A SHUNT ACTIVE POWER FILTER

简单的bp神经网络，是一个语音信号的简单建模和处理，结构深度是3层(simple MATLAB code example for BP network)

说明：  用MATLAB/SImulink 搭建的单相光伏并网逆变器仿真，用PR电压环控制器进行控制，包含2012-2018所有版本(Simulation of single-phase photovoltaic grid connected inverter built by Matlab / Simulink, controlled by PR voltage loop controller, including all versions of 2012-2018)

创建人脸识别库的matlab函数，分为学习集和测试集(Create a face recognition matlab function library is divided into learning set and test set)