一种基本的模式识别方法，进行了部分改进，简单实用，采用matlab仿真，经编译后无误。供大家学习参考

C# 15数码算法，A star 函数实现 -C# 15 Digital Algorithm

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.

人工神经元的bp算法，可用于函数拟合，时间序列数据的预测，目前应用非常广泛-artificial neurons bp algorithm can be used to function fitting, time series data estimation, is widely used

遗传算法优化神经网络结构和链接权，采用浮点数编码-Genetic algorithm neural network structure and link the right to use floating-point encoding

模式识别的基础－－相似度量的介绍，对大家可能有帮助-based pattern recognition-- similar to the measure, we might have to help

把libsvm包在一起，只要能读入矩阵转换成所需的格式libsvm就可以运行了

五子棋是一种受大众广泛喜爱的游戏，这里介绍五子棋程序的数据结构、评分规则、胜负判断方法，重点分析了搜索算法，并在传统的博弈算法在五子棋应用中进行一些改进，从而使剪枝更有效，运算性能更好。改进包括：不使用closed表；改变棋盘搜索顺序；增加记录最大棋盘信息的指针。实验证明，这几点改进对提高效率有很高帮助。

every function has its own help which can be obtained by typing "help name" where "name" is the function, e.g. "help fcm"-every function has its own help which can be obtained by typing "help name" where "name" is t he function, eg "help FCM"

数据挖掘中频繁项集挖掘算法，改进了apriori算法，性能提高很多-Data Mining frequent itemsets mining algorithm, improved apriori algorithm, improve the performance of many