MATLAB-language-commonly-used-

matlab 遗传算法GA，粒子群算法PSO,蚁群算法AS 前段时间上智能计算方法实验课上，自己做的程序。帖到这里，希望有人能改进它们，交流经验这样更有价值。 遗传算法解决最小生成树问题，PURFER编码。 粒子群算法做无约束最优化问题。 蚁群算法解决TSP问题。 如果有宝贵经验希望能交流一下，谢谢，呵呵(matlab genetic algorithm GA, particle swarm optimization PSO, ant colony algorithm for calculation of AS some time ago on the intelligent test classes, make their own procedures. Quote here, hope someone can improve them, and exchange of experience which is more valuable. Genetic algorithm to solve the minimum spanning tree problem, PURFER coding. Particle swarm optimization to do unconstrained optimization problem. Ant colony algorithm to solve the TSP problem. If there is hope to exchange our experience, thank you, He He)

code for BPRS input generation

通过恢复低秩矩阵得到显著性图，其中详细的运用了mean-shift算法，可以很好的了解mean-shift算法的使用，同时还包含了RPCA算法。(Significantly through the recovery of low rank matrix diagram, which detailed the use of mean-shift algorithm, can be a very good understanding of the use of the mean-shift algorithm, also contains RPCA algorithm.)

基于无速度传感器的异步电机调速系统，运用电流来合成磁链，控制方法是转子磁链定向。采用电流滞环控制，电网电压380V，转矩最大达30N.m。波形效果不错。(Based on speed sensorless induction motor speed control system, using current flux synthesis method for controlling the rotor flux orientation. Use current hysteresis control, grid voltage 380V, maximum torque of 30N.m. Waveform good results.)

非线形混沌系统的庞加莱图的画法的代码以及其MATLAB m文件代码(Non-linear chaotic system Poincare map of the painting of the code and its MATLAB m-file code)

通过MATLAB对一幅多个人物的图像进行，人脸轮廓的提取，识别。效果不错，譬如毕业照这样的照片能有很好的结果。(By MATLAB to more than one person in the image , extract facial contour recognition . Good results, such as this photo graduation photo can have a good result .)

说明：  基于Matlab的心肌细胞动作电位模型程序，包含程序说明和部分结果。(Matlab based on the cardiac myocyte action potential model program, including program descriptions and partial results.)

c#与matlab混合编程详细图解的一个例子，可以作为实际编程参考(c# programming with matlab detailed diagram of a hybrid example, can serve as a reference to the actual programming)

inverter 400 voltage good

sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresholding algorithms (collected in HardLab). See ALGORITHMS below for a list of available algorithms.(sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresholding algorithms (collected in HardLab). See ALGORITHMS below for a list of available algorithms.)