自主式决策树学习的程序源码，对研究机器学习的同行很有用。...

GaPlayground:一个非常好的遗传算法demo.-GaPlayground : a Genetic Algorithm very good demo.

C词法分析器实现,AOE网络算法实现,KRUSKAL算法实现,PRIM算法实现,计算机图形学影线填充算法（键盘坐标输入）,计算机图形学影线填充算法（鼠标输入）,人工智能A*算法实现的C语言程序-C lexical analyzer to achieve, AOE network algorithm, KRUSKAL algorithm, PRIM algorithm, computer graphics hatched filling algorithm (keyboard input coordinates), computer graphics hatched filling algorithm (mouse input), Artificial Intelligence A* algorithm The C Programming Language

根据人工鱼群算法的基本原理，求解一个函数值的最优解；-According to the basic principles of artificial fish-swarm algorithm, solving a function value of the optimal solution

程序代码说明 神经网络的实例,内附详细说明-Code description examples of neural network, containing a detailed description of

神经网络和遗传算法在水科学领域的应用-neural networks and genetic algorithms in the field of water science applications

此编码是一个数据挖掘的决策树各种算法。以作为入门提示-this code is a decision tree data mining algorithms. As a portal to suggest

地球模拟器，最经典的人工生命模型,研究人工智能的必看。一般地说，生命都具有新陈代谢、复制和进化的能力。在自然界中，生物是由有限的食物供给和有限的生存空间约束的。在Tierra中，“生物”由一系列能够自我复制的机器代码或程序组成，它在计算机中的复制分别受到计算机的存储空间和CPU时间约束。能有效地占有内存空间和利用CPU时间的生物体，将具有更高的适应度，传递到下一代的机会就越大。 在Tierra中，计算机的RAM（随机访问存储器）中有一块专门的空间，这个空间中放置了一个“祖先有机体”，该祖先有机体根据它的汇编程序代码中的指令开始复制对它的生存是基本的代码。随着有机体的数目的增加，RAM中的空间减少了，因此有机体为了自己的生存空间开始竞争。-Earth Simulator, the most classic of artificial life model, the study of artificial intelligence Watchable. Generally speaking, life is metabolism, reproduction and the ability of evolution. In nature, biomass is limited by the supply of food and limited living space constraints. In Tierra, "biological" to a series of self-replicating machine code or procedure, in which computers were copied by the computer storage space and CPU time constraints. Effective occupy memory space and CPU time using the organisms, will have a higher degree of adaptability, conveying to the next generation the greater the chances. In Tierra, computer RAM (random access memory) is

这是一个将n个样本聚类到m个类别中 将n个样本在m个类里如何分配输出的遗传算法代码。 适应度：sum(i=1_110)sum(j=1_20)【xi-vj】~2-This is a cluster n samples to the m categories will be n samples in the m a class how to allocate the output of the genetic algorithm code. Fitness: sum (i = 1_110) sum (j = 1_20) [xi-vj] ~ 2

portal门户开发，jetspeed的应用及理论讲解-portal development portal, jetspeed application and theory to explain

自适应步长BP神经网络训练算法，采用最小误差和梯度下降法更新权值- BP neural network training anaysis， realized by using error feed back, gradient descent applied updating of synaptic weights