回溯法求01背包问题,c语言版本，由于时间关系没有将代码进行很好的整理，所有代码都在一个文件中...

use genetic ant algorithm to slove TSP problem-use genetic algorithm to slove ant TSP ty B"Tselem,

classification_matlab_toolbox分类方法工具箱，有界面很直观。-classification_matlab_toolbox classification toolbox, a very intuitive interface.

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.

扩展的Infomax算法，具有比较快的收敛速度！而且程序非常简洁,明了-expansion of Infomax algorithm, with a faster rate of convergence! The procedure is very simple, straightforward

This a SVM light for those who want to learn how Support Vector Machine work-This is a SVM light for those who want to learn how Support Vector Machine work

支持向量机实现程序，用matlab实现，那来和大家分享。-Support Vector Machines realize procedure, using matlab realize, that to share with you all.

转载：对神经网络中使用最广泛的一种：BP神经网络采用vbmatlab来实现，把训练数据拷入，load的*.m文件中, 文件中部load的*.m为测试数据 save 存盘的文件为测试数据的bp预测值, 该程序可以扩充n个输入,n个输出,很容易-reproduced : the neural network the most widely used one : BP vbmatlab using neural networks to achieve, it is copyed into the training data. m*. load the document, Central to the paper load*. m to save Inventory test data for the paper test data bp predictive value, The procedure can be expanded to import n, n output, it is easy

经典的数据关联挖掘算法prefixspan-Classical data association mining algorithm PrefixSpan

遗传算法的c源码 说明很详细-Genetic Algorithm c Note very detailed source

基本遗传算法,用来求解函数的最大值!在VC和TC下均可实现.-basic genetic algorithm used to solve the function of the maximum! And the VC can be achieved under TC.