模糊ISODATA聚类分析可以将数据的模糊矩阵的聚类分析

数字图形图形处理中的一个很有用的算法，好不容易搞到的-Digital graphics graphics processing in a useful algorithm, finally got the

这是一个遗传算法中所目标优化的问题，请大家借鉴，-This is a genetic algorithm-objective optimization in the issue and we learn from

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.

遗传算法的示例- Heredity algorithm demonstration

一个用vb编写的一维模糊控制器程序! 简单易懂-Vb prepared using a one-dimensional fuzzy controller program! Easy-to-read

该源码用来实现基本粒子群的算法，值得参考-The source algorithm is used to achieve the elementary particle group, worth considering

一个神经网络原型代码，针对的例子为《Perceptron Learning》 (Russell & Norvig， 第742页)-A neural network prototype code, for example for

基于遗传算法的模糊卡尔曼滤波器-Fuzzy kalman filter based on inheritance algorithmic.

首先采用某种编码方式将解空间映射到编码空间，每个编码对应问题的一个解，称为染色体或个体。一般通过随机方法确定起始的一群个体，称为种群，在种群中根据适应值或某种竞争机制选择个体，使用各种遗传操作算子产生下一代如此进化下去，直到满足期望的终止条件。-begin using some form of coding mapping to the solution space coding space, each encoding a corresponding solution to the problem, known as chromosome or individual. General randomly determined by the initial group of individuals, called stocks, the stocks based on fitness or some mechanism to choose the individual competition, the use of genetic Operator evolution of the next generation so on, until the termination meet expectations conditions.

face recognition test source code