PSO算法求解带约束优化问题，包含所有源程序和运算图片。写论文是编的。...

pso 的一个演示源码，欢迎初学者下载，共同进步-pso source of a presentation, please download beginners, and common progress! ! ! ! ! !

同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-comparison with the genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications

题目：模糊模式识别迭代模型及在优选水电装机中的应用-Topic:The misty mode identifies the generation model and packs the application in the machine in the optimization water electricity

bp神经网络识别数字，可识别0-9的十个数字-the number of bp neural network can identify the ten figures 0-9

clementine8.1中文手册经典的数据挖掘软件说明-clementine8.1 Chinese classic manual data mining software Note

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.

人脸识别：利用奇异值分解和KL变换的投影，是很有价值的一篇文章-Face Recognition : The Singular Value Decomposition and KL transform projection, it is valuable to an article

神经网络 多级神经网络仿真-neural network multi-level neural network simulation

人脸检测代码示例系统.rar 希望对大家有所启发。-Face Detection System code examples. Rar we hope to inspire.

一套图像处理程序,支持三种图像文件格式,我调试过了,很好用-Image processing programs for JPEG,GIF and PNG.I have compiled them, which is good for using.