MATLAB

用粒子群算法优化RBF网络权值，根据适应度值对个体最优和群体最优进行更新 (Particle Swarm Optimization with RBF network weights, according to the best fitness value of individuals and groups to update the best)

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关于简单的遗传算法的实现，包括初始化种群，自然选择，交叉，变异算法的几个源程序文件(On simple genetic algorithm, including the initial population, natural selection, crossover and mutation algorithms several source files)

自适应控制中，用Matlab算法实现带遗忘因子递推最小二乘参数估计(Forgetting factor recursive least squares parameter estimation)

两电平SVPWM仿真详细介绍，包括原理的讲解和各个模块的搭建。(The two level SVPWM)

根据时域信号计算三分之一倍频程下的加速度有效值及功率谱(calculate rms in 1/3 oct freq domain)

关于PSO算法的最新改进，包括主要的测试函数，以及相关的代码描述(This is an implementation of Particle Swarm Optimization algorithm using the same syntax as the Genetic Algorithm Toolbox, with some additional options specific to PSO.)

介绍了Matlab下的MPPT扰动观察法仿真中的S函数编写(Introduced under Matlab simulation MPPT perturbation and observation method S-function written)

这是图像识别方法bag of feature 的matlab源代码(This is image recognition method bag of feature matlab source code)

说明：  最大类间方差算法可以有效地进行相应的图像分割(Otsu algorithm can make the appropriate image segmentation)