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In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

说明：  This is the library svm.

一本关于matlab编程的学习资料，感觉还不错，就上传了。(A book on matlab programming learning materials, feeling pretty good, they upload.)

实现故障诊断！供大家参考!有需要的朋友可以下载过来参考(gu zhang zhengduan )

只要输入自己需要的数据就可实现PSO优化bp的程序(Just enter the data they need can be achieved PSO optimization procedures bp)

BER Vs SNR performance of a signal passing through Rayleigh Fading Chanel

A simple case which uses MATLAB for ploting phasor quantities. Apply the fault during simulation run and observe phasor quantities (you can change type of fault)

卡尔曼的matlab仿真 目标跟踪卡尔曼的matlab仿真 目标跟踪(Kalman Matlab Kalman Matlab Kalman Matlab)

This is a good example of how to create amplitude modulation with sampling frequency

年能够在matlab中实现播放音乐的功能，茫茫的天涯是我的爱。。。。。。(Years in matlab function of playing music, the vast horizon I love. . . . . .)