branchwater

围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.(particle swarm around the center of mass of the current PSO reinitialization. Thus, Each particle in the next iteration will be in the new location with particles in the last search was the "inertia" (wvi ) Pi, Pg orientation, and thus can PSO course of the campaign was a new position, increase seek better solutions opportunities. With the continued iteration, after variation of PSO will tend to the same point. When PSO converge to a certain extent when the next variation, so repeatedly, until the end of iteration.)

isodata聚类算法的matlab实现(isodata achieve clustering algorithm matlab)

Implement the histogram equalization technique

该程序是由matlab编写的，可实现机器人的迭代学习控制的仿真分析。(The program is written by matlab, enabling simulation of iterative learning control of robot.)

带算例的弧长法,可以对弧长法的运算模式有更加清晰的认识(arc-length with a verification examples)

Prediction of rainfall using past data

变步长CMA算法程序，效果比较好，其他算法可以在此基础上修改(variable step-size CMA blind equalization algorithm )

利用扩展卡尔曼滤波器对已知环境地图进行估计，得出估计位置，并给出了真实轨迹(Using extended Kalman filter to estimate the known environment map, draw the estimated location, and provides true trajectory )

多目标粒子群算法在工艺参数优化上的运用，程序包含了主程序、时间、能耗程序。(A multi-objective PSO algorithm to solve process parameters optimization problem)

用于独立成分分析的固定点算法工具包，内有详细的帮助文件,并附有参考文献(Independent component analysis for fixed-point algorithms kit, with detailed help files)