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Particle swarm optimization is a derivative-free global optimum search algorithm based on the collective intelligence of a large group of intercommunicating entities. The individual particles are simple and primitive, knowing only their own current locations and fitness values, their personal best locations, and the swarm s best location. Each particle continually adjusts its trajectory based this information, moving towards the global optimum with each iteration. The swarm as a whole displays a remarkable level of coherence and coordination despite the simplicity of its individual particles. The coordinated behavior of the swarm has been compared with that of a flock of birds or a school of fish.

说明：  Code to use image segmentation via Graph cut

In this file, we have to find how the images are imported and how it will be import and to extract the frames. Next to add the gray scale representation and color images. Finally to detect the RGB color image.

中马尔可夫的经典例子 看了这个就会懂了 (markov)

matlab调用ansys的例子，适合初学者。(matlab call ansys example, suitable for beginners.)

matlab模糊数学工具箱，包含常见的模糊聚类，模糊预测等，期待和大家一起分享。(The matlab fuzzy toolbox, including common fuzzy clustering, fuzzy prediction, etc., looking forward to share.)

说明：  牛顿拉夫逊法用MATLAB如何实现其功能，在迭代过程中如何使用循环算法(Newton-Raphson Power Flow)

说明：  matlab有关AR过程的线性建模与功率谱估计程序设计(The linear AR process modeling and power spectrum estimation)

使用simulink对高阶大时滞系统的模糊控制仿真，分别对使用模糊控制器前后进行对比，性能有较大的提高(fuzzy controller simulink)

MATLAB FUZZY CLUSTRING