Eye_tracking

hough变换检测椭圆的MATLAB程序(hough detection codes to detect shapes in images)

IEEE33节点的潮流计算程序，使用了前推回代方法。(IEEE33 node power flow calculation program)

说明：  Lstm进行时间序列预测，预测股票数据，按日的数据(Prediction of time series by LSTM)

kalman滤波GUI(matlab6.5) m代码在m_files目录中，主函数为fildis 执行独立exe时，需..inwin32下的dll支持.可以在autoexec.bat中加入此目录, 也可将dll文件拷出放入同一目录下，对于独立exe若要从mat文件初始化，mat文件目录全名需无中文字符。 可以作为设计各种kalman滤波器的开发导航，参数可以自己设置。(Kalman filtering GUI (matlab6.5) m in m_files code directory , the main function of an independent fildis exe, need .. bin dll under win32 support. in the autoexec.bat to add this Contents may also be dll Add document beat out the same directory, independent exe To initialize the document from the mat, mat directory full name needs no Chinese characters. Can be used as the design of the Kalman filter developed navigation, their parameters can be set up.)

Dynamic job shop scheduling problem is one form of a job shop scheduling problem with varying arrival time job or not concurrent. This problem can be represented in graph form, which is to seek the shortest path from start point to destination point. One solution that can be used is with the ant colony optimization algorithm. There are three method to input the job : xls file, matriks, and atrractive dialog.

稀疏性学习的工具包，包含说明文件和工具m文件(Sparse learning toolkit, including documentation and tools m file)

说明：  1．什么是卡尔曼滤波器（What is the Kalman Filter?） 2．卡尔曼滤波器的介绍（Introduction to the Kalman Filter） 3．卡尔曼滤波器算法（The Kalman Filter Algorithm） 4．简单例子（A Simple Example） 5. 用matlab做的kalman滤波程序,已通过测试 还有下面一个 Matlab源程序，显示效果更好。 (1. What is a Kalman filter 2. Introduction to the Kalman Filter 3. The Kalman Filter Algorithm 4. A Simple Example 5. Kalman filter code with matlab, has been tested.Another Matlab code shows better.)

SimMechanics pendulum used for control optimization

自抗扰控制的simulink仿真模型，其中TD、ESO和NLSEF均是采用m函数编写的，效果不错，可以试一下(Simlink simulation model of ADRC, in which TD, ESO and NLSEF are all written by M function, the effect is good, you can try it.)

《MATLAB程序设计教程》源代码-2660()